Principal research scientist jobs in Roanoke, VA - 92 jobs

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. What You Will Do The Field Research Scientist supports and manages the day-to-day operations of the research program in an assigned territory, by working with regional Site Leads and key stakeholders to plan, establish, maintain, collect accurate agronomic data from, and harvest corn soybean, wheat, and cotton trials. Key Tasks and Responsibilities: Responsibilities include, but are not limited to the following: * Must be located in or around one of the following areas: Southern New York, Pennsylvania, Maryland, or Virginia. * Ensure safe and efficient operation of the research program with respect to budgetary guidelines and expectations and support the site ESH program as it applies to North American Field Testing and Operations. * Selection, preparation, and maintenance of multiple field testing sites. This requires safe driving including frequent trailer use hauling loads in excess of 10,000 lbs; pre-trip inspections and use of log books. * Plays a vital role in trial preparation including seed processing, packaging, shipping, protocol review, trial placement, and mapping/field design. * Maintain field trial sites as week, insect, and disease free; * Having a confident ability in identifying key weeds, insect, and disease problems is critical, as is timely and accurate implementation of control measures; * With the use of handheld electronic equipment and Monsanto proprietary software, collect notes on various agronomic traits (e.g. emergence uniformity, flowering date, lodging, height, maturity, shattering resistance) in a timely manner throughout the growing season; * Harvest plots and collect samples for quality and statistical analysis; ensure harvest data is evaluated and relinquished in accordance with crop advancement deadlines to aid in product advancement decisions; * Develop, maintain, and implement the use of controlled SOP documents, QMS procedures, and investigative protocols; * Comply with all Monsanto regulatory compliance guidelines for Confined Release and Stewarded Trial material; * Collaborate with other Agronomic Research Specialists, Site Leads, and Principal Investigators in order to facilitate efficient trial planning and placement; * Sharing of ideas and techniques and quick response to issues that may arise (e.g. weather or pests affecting trials); * Works closely with Plant Breeders, Principal Investigators, and Agronomic Research Specialist to filly understand the multiple stages of crop development and the importance of each step involved and share experiences cross-functionally as needed; * Field selection, cooperator relations, and ability to learn research equipment operations and basic maintenance (all types), field maintenance, and data collection; * Basic Agronomic knowledge/Crop Management knowledge; * Technical savvy and ability to adhere to compliance and safety policies; * Utilization of IT tools, time management, prioritization skills; * Must be self motivated with good decision-making abilities; * Accountable for business unit or project results through leadership and coordination across site strategy; * Ability to prioritize and monitor projects to ensure completion within deadlines and budgets; * Build partnerships and share technical knowledge across sites; * Stay involved in industry working groups. Required Qualifications: * PhD with minimum years relevant experience, OR MS with minimum of 2 years relevant experience, OR BS with minimum of 5 years relevant experience; * Located in or around southern New York, Pennsylvania, Maryland, or Virginia; * Valid Driver's License; * Ability to lift up to 60lbs; * Ability to obtain pesticide applicator license; * Ability to work extended hours during peak operational seasons; * CDL license or ability to obtain one. Preferred Qualifications: * Ability to obtain UAV license for operating drones. This posting will expire on January 28th, 2026. Employees can expect to be paid a salary of $76480.00 - 114720.00 per year. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. Division:Crop Science Reference Code860475 Functional Area:Biological R&D Location:United States : New York : Albany || United States : Maryland : BALTIMORE || United States : Maryland : Baltimore || United States : Maryland : College Park || United States : Maryland : Columbia || United States : Maryland : Frederick || United States : Maryland : Gaithersburg || United States : Maryland : Galena || United States : Maryland : Glen Burnie || United States : Maryland : HYATTSVILLE || United States : Maryland : Laurel || United States : Maryland : Residence Based || United States : Maryland : SALISBURY || United States : Maryland : Silver Spring || United States : Maryland : Towson || United States : Maryland : Waldorf || United States : New York : BUFFALO S || United States : New York : Bronx || United States : New York : Brooklyn || United States : New York : Buffalo || United States : New York : Canandiagua || United States : New York : Commack || United States : New York : Garden City || United States : New York : HEMPSTEAD || United States : New York : JAMAICA || United States : New York : LIVERPOOL || United States : New York : Long Island || United States : New York : Manhattan || United States : New York : Newburgh || United States : New York : Poughkeepsie || United States : New York : Queens || United States : New York : Residence Based || United States : New York : Rochester || United States : New York : SARATOGA SPRINGS || United States : New York : SCHENECTADY || United States : New York : SPRING VALLEY || United States : New York : SYRACUSE S || United States : New York : Schenectady || United States : New York : Staten Island || United States : New York : Syracuse || United States : New York : Tarrytown || United States : New York : UTICA || United States : New York : WEBSTER || United States : New York : White Plains || United States : Pennsylvania : Allentown || United States : Pennsylvania : Bensalem || United States : Pennsylvania : Bethlehem || United States : Pennsylvania : Butler || United States : Pennsylvania : CARLISLE || United States : Pennsylvania : Drexel Hill || United States : Pennsylvania : ERIE || United States : Pennsylvania : Greensburg || United States : Pennsylvania : Harrisburg || United States : Pennsylvania : Indianola || United States : Pennsylvania : Johnstown || United States : Pennsylvania : LANCASTER || United States : Pennsylvania : Lancaster || United States : Pennsylvania : Lawrence || United States : Pennsylvania : Levittown PA || United States : Pennsylvania : Manchester || United States : Pennsylvania : Manheim || United States : Pennsylvania : Myerstown || United States : Pennsylvania : Norristown || United States : Pennsylvania : PHILADELPHIA E || United States : Pennsylvania : PITTSBURGH NE || United States : Pennsylvania : Philadelphia || United States : Pennsylvania : Pittsburgh || United States : Pennsylvania : Pittsburgh Heilman || United States : Pennsylvania : Pottstown || United States : Pennsylvania : Reading || United States : Pennsylvania : Residence Based || United States : Pennsylvania : Saxonburg || United States : Pennsylvania : Scranton || United States : Pennsylvania : State College , Williamsport || United States : Pennsylvania : WILKES BARRE || United States : Pennsylvania : Warrendale || United States : Pennsylvania : West Chester || United States : Pennsylvania : Wilkes Barre || United States : Pennsylvania : York || United States : Pennsylvania : Youngstown || United States : Residence Based : Residence Based || United States : Virginia : Arlington || United States : Virginia : CHARLOTTESVILLE || United States : Virginia : Chantilly || United States : Virginia : Charlottesville || United States : Virginia : Chesterfield || United States : Virginia : Fairfax || United States : Virginia : Fredericksburg || United States : Virginia : Hampton || United States : Virginia : Lynchburg || United States : Virginia : Norfolk || United States : Virginia : Residence Based || United States : Virginia : Richmond || United States : Virginia : Roanoke || United States : Virginia : Virginia Beach || United States : Virginia : WOODBRIDGEEmployment Type:Regular Position Grade:M07 Contact Us AddressTelephoneCreve Coeur, MO***************, option #563167 OR Submit a ticket via the self-service option by visiting go/askhr

The Department of Agricultural & Applied Economics at Virginia Tech is seeking two highly motivated applied economists to join our team as (Senior) Research Scientists in the Fall of 2024. Depending on the qualifications of the successful candidate, the positions may be filled at the senior research scientist or research scientist level. The positions are twelve-month, calendar year, restricted positions; which will be reviewed annually, based upon funds available, needs of service, and performance. As part of our work with the Alliance to Advance Climate-Smart Agriculture, the Research Scientist positions will be responsible for leading the conceptualization and conduct of research projects, managing and ensuring completion of the objectives of a sponsored research program, and delivering research materials, including writing peer-reviewed journal articles and making presentations at academic conferences and for public audiences on topics such as: - Estimating the consumer demand for climate-smart certified food products using incentivized lab-in-the-field choice experiments in a relevant setting - Rigorously assessing the range of ecosystem service values associated with climate-smart agricultural practices pursued as part of the program - Evaluating the drivers and impacts of climate-smart agricultural practice adoption, with a focus on the role of financial incentives and program design from our pilot program for ecosystem services The effectiveness of the research agenda will be influenced by the Alliance faculty members' ability to work closely with relevant partners, including fellow researchers, private sector retailers, soil and water conservation districts, and producers. About The Alliance for Climate Smart Agriculture The Alliance to Advance Climate-Smart Agriculture is a coalition of organizations, led by Virginia Tech, that will implement an $80 million, three-year project funded by the United States Department of Agriculture-Natural Resources Conservation Service (USDA-NRCS). This project will be implemented across four states - Arkansas, Minnesota, North Dakota, and Virginia - and will feature payments to farmers to adopt climate-smart agriculture practices to increase resilience and climate change mitigation. Virginia Tech faculty will conduct a rigorous research agenda to evaluate the implementation and impacts of this program. Under the three-year pilot, Virginia Tech and its partners will help producers in the four states prove the value of paying farmers and ranchers $100 per acre or animal unit for stewardship practices that deliver public value through carbon sequestration, greenhouse gas reduction, improved soil health, water quality, water conservation, and other environmental services. We aim to create a national model for incentivizing and rewarding farmers for adopting climate-smart practices. More information on the program can be found at this link: ****************************** About Virginia Tech Virginia Tech is and has been pursuing a series of cluster hires to complement the strengths of existing faculty in pursuing interdisciplinary research the nexus of digital, biological, social, and physical sciences and engineering with application to agriculture, food, and natural resources. This vision aims to create a state and nation-wide network of interconnected faculty, partners, and resources for scientific discovery and developing and deploying new technologies. The goal is to increase overall efficiency, resiliency, sustainability, and economic value of food, agriculture production systems, and natural resources while expanding Virginia Tech's global influence in this rapidly evolving domain. Virginia Tech is located in Blacksburg, VA with a full-time student population of 33,000+ students. The Blacksburg campus is in a growth phase associated with significant public and private investments in computer and data science research and education. These investments include the construction of a Data & Decision Science Building that is part of a larger investment in developing a Global Business and Analytics Complex in Blacksburg. Geographically, Blacksburg is nestled in the heart of the New River Valley, close to the Blue Ridge Mountains and the Appalachian Trail with ample outdoor recreation opportunities. In addition to the Blacksburg campus, VT operates a rapidly growing campus in the National Capital Region (Washington, D.C.) located in close proximity to multiple public agencies, research institutes, and private sector companies with related interests. Department, College, University, and Community: The Department of Agricultural and Applied Economics at Virginia Tech is a robust and growing unit with about 300 primary and secondary undergraduate majors, 75 graduate students, and 32 faculty members (************************ The Department is located in the College of Agriculture and Life Sciences (************************* which advises about 3000 undergraduate students and 640 graduate students across 10 departments and schools. Virginia Cooperative Extension, also located within the college, delivers research-based information to the people of the Commonwealth of Virginia through county/city extension offices, 4-H educational centers, and Agricultural Research and Extension Centers (******************************* Virginia Tech (******************* is located in Blacksburg, VA (***************************** with a full-time student population of more than 38,000 students. Blacksburg is nestled in the New River Valley, close to the Blue Ridge Mountains and the Appalachian Trail, and was recently ranked by Bloomberg's Businessweek as the best place in the U.S. to raise kids and by Forbes as one of the top 25 places in the U.S. to retire (********************************************* Location: The base location for this position is Blacksburg, VA. Travel to Blacksburg on a routine basis will be required. The position is open to hybrid or remote; however, preferred remote location will be within a reasonable commuting distance to one of the partner locations (i.e. Virginia, Minnesota, Arkansas, and/or North Dakota). Required Qualifications Required Qualifications (Research Scientist): - PhD in applied economics or a relevant field (applicants with an expected completion date prior to the start of employment also accepted) - Record of experience submitting academic papers for peer-reviewed publication - Excellent communication skills Required Qualifications (Senior Research Scientist): - PhD in applied economics or a relevant field - Considerable record of published research - Excellent communication skills - Demonstrated content expertise in any or all of the of the following areas: (a) designing and executing on-the-ground randomized controlled experiments (b) conducting lab-in-the-field choice experiments with consumers (c) designing surveys to be implemented among rural producers in the US (c) ecosystem service valuation techniques, with an emphasis on water quality and GHGs in agricultural environments - Experience with managing sponsored research projects and/or personnel to help deliver on sponsored project objectives Preferred Qualifications Preferred Qualifications (Research Scientist): - Demonstrated knowledge of crop and/or animal agriculture, including USDA-NRCS conservation practices or climate smart agriculture - Demonstrated content expertise in any or all of the of the following areas: (a) designing and executing on-the-ground randomized controlled experiments (b) conducting lab-in-the-field choice experiments with consumers (c) designing surveys to be implemented among rural producers in the US (c) ecosystem service valuation techniques, with an emphasis on water quality and GHGs in agricultural environments - Experience working with local Soil and Water Conservation Districts - Experience with managing sponsored research projects and/or personnel to help deliver on sponsored project objectives Preferred Qualifications (Senior Research Scientist): - Demonstrated knowledge of crop and/or animal agriculture, including USDA-NRCS conservation practices or climate smart agriculture - Experience working with local Soil and Water Conservation Districts Pay Band {lPayScaleID} Appointment Type Restricted Salary Information Commensurate with Experience Review Date 11/01/2024 Additional Information Please submit (1) a cover letter indicating your interests, relevant background, and contact information for 3 references (2) your CV . Applications will be reviewed on a rolling basis until filled, with a priority deadline of XXXXX. Contact George Davis (******************) with further questions. The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dr. George Davis at ************** during regular business hours at least 10 business days prior to the event.

Qualifications This is a full-time position and will require individuals with the following skills: Must have excellent customer service and communication skills Duties include assisting customers, driving nurse trucks (dry or liquid), custom application of fertilizer and crop protectant products Must have basic understanding of truck operations Good Driving Record is required Class B Commercial Drivers License or willing to obtain Ability to work in team environment is a requirement High school graduate or GED Willing to work Saturdays

The Virginia Tech Center for Ecosystem Forecasting is recruiting a Research Scientist with a Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental Engineering, or a related field. We are seeking to recruit an integral, long-term member of our team who will contribute to environmental modeling and forecasting research across multiple funded projects. Following the mission of the Virginia Tech Center for Ecosystem Forecasting, we seek a team member who is excited to both create and apply innovative environmental models and forecasts that provide actionable forecast insights to guide decision-making and management. We encourage applicants to visit our website (*********************************** to learn more about the Center, its mission and values, current projects, and our highly collaborative, interdisciplinary research team. Specific responsibilities for the on-site position include: 1) developing ecological forecasts (especially for lake and reservoir water quality) using a suite of models and datasets; 2) leading and co-authoring peer-reviewed publications, presentations, and data products; 3) providing guidance and mentorship to team members and supporting ongoing Center programs (including the Macrosystems EDDIE educational program); and 4) serving in a leadership role in the Center, which includes setting priorities, engaging partners, preparing reports, and collaborating with CEF co-directors and staff to apply for external funding. The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. Required Qualifications * Ph.D. in Environmental Science, Quantitative Ecology, Ecological Statistics, Natural Resources, Environmental/Civil Engineering, or a related field * Significant experience in publishing peer-reviewed journal articles, demonstrated by publication record * Significant quantitative research experience in ecosystem modeling, environmental forecasting, and/or computational ecology, demonstrated by publications and/or software development * Significant experience working in the R and/or Python programming language, demonstrated by GitHub (or other code repository) portfolio * Significant experience in environmental data analysis, demonstrated by publications and presentations * Experience with collaborative coding, demonstrated by GitHub (or other code repository) activity * Ability to work in interdisciplinary collaborative teams, demonstrated by previous team research experiences Preferred Qualifications * Postdoctoral research experience * Experience with water quality models, demonstrated by developing, calibrating, and applying water quality models, especially for lakes and reservoirs * Experience publishing data and code products, demonstrated by authorship of published data and code * Experience in data and forecast visualization, demonstrated by development and dissemination of data and forecast visualizations * Experience in mentoring and/or supervising * Experience working across computational platforms (e.g., command line, Docker, cloud computing and storage, RStudio, etc.) Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date December 22, 2025 Additional Information The review of applications will begin on Monday, 22 December, with anticipated Zoom interviews being scheduled in early January. Funding for this position is available for multiple years, pending satisfactory performance during an initial probationary period and subsequent annual performance reviews. We are unable to sponsor or take over sponsorship of an employment visa for this position at this time. The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dreama Price at ************* during regular business hours at least 10 business days prior to the event.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. What You Will Do The Field Research Scientist supports and manages the day-to-day operations of the research program in an assigned territory, by working with regional Site Leads and key stakeholders to plan, establish, maintain, collect accurate agronomic data from, and harvest corn soybean, wheat, and cotton trials. Key Tasks and Responsibilities: Responsibilities include, but are not limited to the following: * Must be located in or around one of the following areas: Southern New York, Pennsylvania, Maryland, or Virginia. * Ensure safe and efficient operation of the research program with respect to budgetary guidelines and expectations and support the site ESH program as it applies to North American Field Testing and Operations. * Selection, preparation, and maintenance of multiple field testing sites. This requires safe driving including frequent trailer use hauling loads in excess of 10,000 lbs; pre-trip inspections and use of log books. * Plays a vital role in trial preparation including seed processing, packaging, shipping, protocol review, trial placement, and mapping/field design. * Maintain field trial sites as week, insect, and disease free; * Having a confident ability in identifying key weeds, insect, and disease problems is critical, as is timely and accurate implementation of control measures; * With the use of handheld electronic equipment and Monsanto proprietary software, collect notes on various agronomic traits (e.g. emergence uniformity, flowering date, lodging, height, maturity, shattering resistance) in a timely manner throughout the growing season; * Harvest plots and collect samples for quality and statistical analysis; ensure harvest data is evaluated and relinquished in accordance with crop advancement deadlines to aid in product advancement decisions; * Develop, maintain, and implement the use of controlled SOP documents, QMS procedures, and investigative protocols; * Comply with all Monsanto regulatory compliance guidelines for Confined Release and Stewarded Trial material; * Collaborate with other Agronomic Research Specialists, Site Leads, and Principal Investigators in order to facilitate efficient trial planning and placement; * Sharing of ideas and techniques and quick response to issues that may arise (e.g. weather or pests affecting trials); * Works closely with Plant Breeders, Principal Investigators, and Agronomic Research Specialist to filly understand the multiple stages of crop development and the importance of each step involved and share experiences cross-functionally as needed; * Field selection, cooperator relations, and ability to learn research equipment operations and basic maintenance (all types), field maintenance, and data collection; * Basic Agronomic knowledge/Crop Management knowledge; * Technical savvy and ability to adhere to compliance and safety policies; * Utilization of IT tools, time management, prioritization skills; * Must be self motivated with good decision-making abilities; * Accountable for business unit or project results through leadership and coordination across site strategy; * Ability to prioritize and monitor projects to ensure completion within deadlines and budgets; * Build partnerships and share technical knowledge across sites; * Stay involved in industry working groups. Required Qualifications: * PhD with minimum years relevant experience, OR MS with minimum of 2 years relevant experience, OR BS with minimum of 5 years relevant experience; * Located in or around southern New York, Pennsylvania, Maryland, or Virginia; * Valid Driver's License; * Ability to lift up to 60lbs; * Ability to obtain pesticide applicator license; * Ability to work extended hours during peak operational seasons; * CDL license or ability to obtain one. Preferred Qualifications: * Ability to obtain UAV license for operating drones. This posting will expire on January 28th, 2026. Employees can expect to be paid a salary of $76480.00 - 114720.00 per year. Additional compensation may include a bonus or commission (if relevant). Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc. If selected for this role, the offer may vary based on market data/ranges, an applicant's skills and prior relevant experience, certain degrees and certifications, and other relevant factors. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. Division:Crop Science Reference Code860475 Functional Area:Biological R&D Location:United States : New York : Albany || United States : Maryland : BALTIMORE || United States : Maryland : Baltimore || United States : Maryland : College Park || United States : Maryland : Columbia || United States : Maryland : Frederick || United States : Maryland : Gaithersburg || United States : Maryland : Galena || United States : Maryland : Glen Burnie || United States : Maryland : HYATTSVILLE || United States : Maryland : Laurel || United States : Maryland : Residence Based || United States : Maryland : SALISBURY || United States : Maryland : Silver Spring || United States : Maryland : Towson || United States : Maryland : Waldorf || United States : New York : BUFFALO S || United States : New York : Bronx || United States : New York : Brooklyn || United States : New York : Buffalo || United States : New York : Canandiagua || United States : New York : Commack || United States : New York : Garden City || United States : New York : HEMPSTEAD || United States : New York : JAMAICA || United States : New York : LIVERPOOL || United States : New York : Long Island || United States : New York : Manhattan || United States : New York : Newburgh || United States : New York : Poughkeepsie || United States : New York : Queens || United States : New York : Residence Based || United States : New York : Rochester || United States : New York : SARATOGA SPRINGS || United States : New York : SCHENECTADY || United States : New York : SPRING VALLEY || United States : New York : SYRACUSE S || United States : New York : Schenectady || United States : New York : Staten Island || United States : New York : Syracuse || United States : New York : Tarrytown || United States : New York : UTICA || United States : New York : WEBSTER || United States : New York : White Plains || United States : Pennsylvania : Allentown || United States : Pennsylvania : Bensalem || United States : Pennsylvania : Bethlehem || United States : Pennsylvania : Butler || United States : Pennsylvania : CARLISLE || United States : Pennsylvania : Drexel Hill || United States : Pennsylvania : ERIE || United States : Pennsylvania : Greensburg || United States : Pennsylvania : Harrisburg || United States : Pennsylvania : Indianola || United States : Pennsylvania : Johnstown || United States : Pennsylvania : LANCASTER || United States : Pennsylvania : Lancaster || United States : Pennsylvania : Lawrence || United States : Pennsylvania : Levittown PA || United States : Pennsylvania : Manchester || United States : Pennsylvania : Manheim || United States : Pennsylvania : Myerstown || United States : Pennsylvania : Norristown || United States : Pennsylvania : PHILADELPHIA E || United States : Pennsylvania : PITTSBURGH NE || United States : Pennsylvania : Philadelphia || United States : Pennsylvania : Pittsburgh || United States : Pennsylvania : Pittsburgh Heilman || United States : Pennsylvania : Pottstown || United States : Pennsylvania : Reading || United States : Pennsylvania : Residence Based || United States : Pennsylvania : Saxonburg || United States : Pennsylvania : Scranton || United States : Pennsylvania : State College , Williamsport || United States : Pennsylvania : WILKES BARRE || United States : Pennsylvania : Warrendale || United States : Pennsylvania : West Chester || United States : Pennsylvania : Wilkes Barre || United States : Pennsylvania : York || United States : Pennsylvania : Youngstown || United States : Residence Based : Residence Based || United States : Virginia : Arlington || United States : Virginia : CHARLOTTESVILLE || United States : Virginia : Chantilly || United States : Virginia : Charlottesville || United States : Virginia : Chesterfield || United States : Virginia : Fairfax || United States : Virginia : Fredericksburg || United States : Virginia : Hampton || United States : Virginia : Lynchburg || United States : Virginia : Norfolk || United States : Virginia : Residence Based || United States : Virginia : Richmond || United States : Virginia : Roanoke || United States : Virginia : Virginia Beach || United States : Virginia : WOODBRIDGEEmployment Type:Regular Position Grade:M07 Contact Us AddressTelephoneCreve Coeur, MO***************, option #563167 OR Submit a ticket via the self-service option by visiting go/askhr

A research scientist is sought to launch Disease Mechanics Initiative in the Department of Mechanical Engineering at Virginia Tech. This position provides an excellent opportunity to work in a world-class interdisciplinary environment as part of a team of experimental and computational scientists from engineering and biology, and in close collaboration with clinicians. The position entails interacting with faculty across multiple departments, managing collaborative interdisciplinary research projects, facilitating large-scale research proposal development, and actively liaising with funding agencies. An attractive compensation package commensurate with experience will include competitive benefits and a retirement package offered by Virginia Tech. The position is available starting as soon as possible and is eligible for annual renewal contingent upon satisfactory progress and continued funding. Required Qualifications • Completed Ph.D. in biology, engineering, biophysics, or a closely related discipline. • Proven track record of outstanding research that is reflected in publications and secured funding (e.g., postdoctoral fellowship or other early-career grants) • Experience in working in Biosafety Level-2 (BSL-2) laboratory environment, proficiency in standard cell- and molecular-biological techniques, and advanced optical microscopy. • Strong communication skills, enthusiasm to lead independent and manage collaborative interdisciplinary research, develop grant proposals, and the ability and willingness to mentor graduate and undergraduate students. Preferred Qualifications • Additional experience in bacteriology. Appointment Type Restricted Review Date October 10, 2024 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Amanda Collins at *************** during regular business hours at least 10 business days prior to the event.

Applications are invited for a Research Scientist position with the Systems Software Research Group at Virginia Tech. Opportunities exist in two directions. The first direction is on developing innovative software systems - broadly defined to include operating systems, compilers, and run-times - for emerging hardware in cloud and edge computing settings, in particular those with heterogeneous instruction sets, accelerators, programmable devices, I/O virtualization, and capabilities/tagging, toward improved performance, energy efficiency, and security properties. The second direction is at the intersection of program/binary analysis and verification toward developing trustworthy tools for reasoning about security properties of low-level code and developing mitigations. Opportunities also exist to investigate project-relevant topics of mutual interest. The position has no teaching obligations. Responsibilities include: - conducting independent research in these spaces - developing publications for journals, conferences, and workshops, and presenting papers at conferences and workshops - conducting presentations at sponsor events and technology demonstrations and transitions Required Qualifications - PhD in computer science or engineering (or a related field - Strong background and publication record in any of the following areas: heterogeneous computing, operating systems/hypervisors, compilers/run-times, formal verification, proof assistants and verification tools, binary/program analysis, or compilers Preferred Qualifications - Experience developing funding proposals and managing funded projects. Appointment Type Restricted Salary Information Commensurate with Experience Review Date 10/25/2024 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Cheri Warren at ************* during regular business hours at least 10 business days prior to the event.

The Furst Lab at the Virginia Tech Occoquan Watershed Monitoring Laboratory (OWML) invites applications for a Postdoctoral Associate position in the area of per- and polyfluoroalkyl substances (PFAS) research. The Postdoctoral Associate will lead research on the fate and transport of PFAS with a focus on the Occoquan Watershed, which supplies drinking water to approximately 1 million people in the Northern Virginia region. This position will support several stakeholder-driven projects, with the overall goal of developing novel analytical and modeling approaches for PFAS source fingerprinting and forensics in multi-source watersheds. The Postdoctoral Associate will contribute to project design and lead laboratory work, data analysis and modelling in collaboration with the OWML PFAS research team and water utility and government stakeholders. The Virginia Tech Occoquan Watershed Monitoring Laboratory (OWML) is operated by the Department of Civil and Environmental Engineering (CEE). The Furst Lab at OWML conducts research on emerging contaminants, organic matter, redox and disinfection processes in One Water systems. OWML is located in Northern Virginia in the suburbs of Washington DC and houses a stakeholder-funded, state-certified water quality lab that has monitored the Occoquan Watershed - the nation's first indirect potable reuse system - for over 50 years. OWML is also home to seven CEE faculty and more than 30 post-doctoral associates, graduate students, laboratory and field technicians, and office staff. Responsibilities of this Postdoctoral Associate include: 1. Conduct literature reviews to identify cutting-edge PFAS source fingerprinting and forensics techniques. 2. Perform advanced laboratory analyses for PFAS detection and quantification, including but not limited to liquid chromatography-tandem mass spectrometry (LC-MS/MS). 3. Develop and validate QA/QC criteria for analytical methods and experiments, and prepare documentation and SOPs as needed. 4. Participate in meetings with utility stakeholders to present results and inform research directions. 5. Coordinate with OWML field and laboratory staff to plan and execute fieldwork and laboratory work. 6. Conduct data interpretation related to contaminant fate and transport in natural and engineered systems. 7. Lead and contribute to manuscripts for peer-reviewed journals and reports for sponsors. 8. Assist in training and mentorship of graduate students and junior laboratory technicians. The Postdoctoral Associate will ensure timely completion of project milestones and deliverables, maintain timely and professional communication with internal and external collaborators. Additional responsibilities include attending weekly lab meetings, supporting shared lab operations, and assisting with proposal development. The Postdoctoral Associate will receive training in project management and grant writing, and will have opportunities to present findings at regional and national conferences. Occasional travel may be required for field work, project meetings and conferences. Required Qualifications * Ph.D. in Environmental Engineering, Chemical Engineering, Environmental Chemistry, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. * Demonstrated expertise in fate and transport of emerging contaminants in natural or engineered systems. * Extensive training and experience with PFAS analysis and LC-MS/MS instrumentation. * Strong scientific writing skills. * Competency in programming and statistical analysis for advanced data interpretation Preferred Qualifications * Record of peer-reviewed publications and successful fellowship proposals * Experience mentoring students or laboratory personnel. * Experience collaborating with governmental and industry partners. * Familiarity with environmental policy and regulatory frameworks. * Experience in data science, computational chemistry, and/or contaminant transport modeling. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Starting at $63,000, commensurate with experience Hours per week 40 Review Date Application review will commence on January 26, 2026. Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Kirin Furst at (*************) during regular business hours at least 10 business days prior to the event.

Research Scientist working under the supervision of Professor (Dr.) Leonard Smith in ECE at Virginia Tech engages in research and various ongoing research projects related to connected coping with structural model error in prediction of nonlinear dynamic systems and the development of novel communication and pedagogical materials to enhance wider understanding of the limits of current methods and advantages of the alternatives developed. Perform both independent and supervised research under the supervision of the adviser. Conduct research for simulation model development and actual real-time forecasting of laboratory test systems. Read and digest necessary and relevant research articles, applying appropriate classical and contemporary analytical methods to find new techniques/solutions. Write reports, submit deliverables to sponsors, prepare manuscripts based on the research findings and publish on scientific platforms. Work in a collaborative team environment. Assist in supervising graduate and undergraduate students, proposal writing and preparation for potential funding, and other research duties. Develop and contribute ideas for prediction, likely prediction failure, control, education and decision-making. Design and implement some of the most capable and advanced forecasting and decision support software on the planet. Required Qualifications - Ph.D. in either Physics or Mechanical/Electrical/Electronics/Control Engineering or Applied Statistics with substantial post-Ph.D. - Demonstrated experience in one or more of the following areas along with programming skills in MATLAB, C/C++/Python, and ROS, or similar languages for software/algorithm development and hardware/machine interface: autonomous systems; machine learning; data acquisition. - Excellent communications skills. Preferred Qualifications - Significant experience in the application control systems modeling, design, and implementation; signal processing, and sensor fusion. - Demonstrated expertise and prior work in related areas for instance, Nonlinear Forecasting, collision detection and avoidance, multi-robot coordination via probabilistic forecasting, decision making assistance systems, and man-machine interface. - Experience in simulator experimentation and web based data extraction. Appointment Type Restricted Salary Information Commensurate with Experience Review Date 12/02/2024 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact K Atkins at ************* during regular business hours at least 10 business days prior to the event.

The Meng Lab is seeking a Postdoctoral Associate to work in a molecular virology lab to study the underlying mechanism(s) of hepatitis E virus (HEV)-associated extrahepatic pathogenesis. The candidates will utilize both in vitro and in vivo model systems to investigate how hepatitis E virus invades the central and peripheral nervous systems to cause neurological injuries leading to various neurological sequalae. The candidates will delineate the molecular, immunological and inflammatory mechanisms associated with hepatitis E virus infection in cells of neurovascular unit, and evaluate the effect of inhibitor(s) on therapeutic intervention of HEV-related neurological sequelae. The candidates are expected to have good written and communication skills, and effectively collaborate with other postdoctoral associates in the lab. Required Qualifications * Ph.D. in virology, immunology, cell biology or related fields. * Ph.D. must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. Preferred Qualifications * Prior experience in viral immunology or molecular virology. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Starting at $59,500; Commensurate with experience Hours per week 40 Review Date April 15, 2025 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dr. Xiang-Jin Meng at ************* during regular business hours at least 10 business days prior to the event.

The Agrawal Lab in the School of Neuroscience at Virginia Tech is seeking a Research Scientist to join our team. The Agrawal lab studies neural circuits underlying flexible motor control by utilizing the compact genetic model organism, Drosophila melanogaster. We use a variety of cutting-edge techniques, including quantitative behavior with machine vision-based tracking, optogenetics, in vivo electrophysiology and 2-photon imaging, and EM-based circuit reconstruction. Specifically, we are interested in how animals use proprioceptive sensory information to navigate and move through an often unpredictable world. Proprioception is an animal's sense of the position and movement of its body, and it is essential for coordinated movement across the animal kingdom. Projects in the lab include understanding how proprioceptive information is relayed to the brain to integrate with motor planning, examining how neural circuits integrate wing and leg proprioceptive information in the insect CNS, and exploring how vibration sensing via the legs mediates courtship and other behaviors. See the lab website (********************************* for more details and other potential projects. This position is for two years with possibilities for extension. The research scientist will be responsible for directing, planning, and executing projects in collaboration with Dr. Agrawal. They will have the opportunity to publish first-author papers, contribute to related projects as co-authors, and present their work at national and international conferences and institutions. As a new lab, the position will have the opportunity for lots of interaction and mentorship from Dr. Agrawal as well as opportunities to mentor other junior scientists. Dr. Agrawal is committed to providing all members of the lab with scientific training and mentorship to help them pursue their career goals. Applicant must have a PhD in a relevant field (e.g., biology, neuroscience, computational neuroscience, controls, engineering) and a curiosity and enthusiasm for science. Basic programming skills in Matlab or Python are highly desirable. Interested applicants should apply online at **************** Please include a current Curriculum Vitae, Statement of Research Interests, and the contact information of three (3) references. Required Qualifications • Ph.D. in a relevant field (e.g., biology, neuroscience, computational neuroscience, controls, engineering) • Curiosity and enthusiasm for science • Strong organizational skills and ability to prioritize responsibilities • Strong interpersonal communication skills and the ability to work effectively in a team environment and independently • Willingness to learn new skills Preferred Qualifications • Basic programming skills in Matlab or Python • Laboratory experience in Drosophila genetics • Able to commit at least two years duration to the position Appointment Type Restricted Salary Information 62,000 - 70,000 Review Date 11/15/2023 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Sweta Agrawal at ************ during regular business hours at least 10 business days prior to the event.

A postdoctoral opening is immediately available in the Soft Materials and Structures Lab under the direction of Dr. Michael Bartlett at Virginia Tech (***************************** The position is in the area of soft electronics, adhesion science, and system integration. The project will focus on the fabrication, characterization, and implementation of novel soft devices, with particular emphasis on adhesion control, wet/underwater adhesion, soft sensors, and multifunctional interfaces. Please include a cover letter, CV with publication list, no more than three representative publications, and contact information for 3 references. Required Qualifications * PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related field. * PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. Preferred Qualifications * Expertise in fabrication and characterization of soft electronic systems, including stretchable conductors, liquid metal composites, multilayer soft circuits, or microfabrication techniques. * Research experience in adhesion science, including dry, wet, or underwater adhesion, switchable adhesion mechanisms, or interfacial mechanics. * Strong record of high-quality publications in relevant areas (soft materials, adhesion, electronics, additive manufacturing, mechanics). * Experience mentoring graduate/undergraduate researchers and working effectively in a collaborative, interdisciplinary environment. * Excellent communication skills, including experience preparing manuscripts, presentations, and/or grant-related materials. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40 Review Date January 26, 2026 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Amanda Collins at *************** during regular business hours at least 10 business days prior to the event.

Applications are invited for a Research Scientist position with the Systems Software Research Group at Virginia Tech. Opportunities exist in two directions. The first direction is on developing innovative software systems - broadly defined to include operating systems, compilers, and run-times - for emerging hardware in cloud and edge computing settings, in particular those with heterogeneous instruction sets, accelerators, programmable devices, I/O virtualization, and capabilities/tagging, toward improved performance, energy efficiency, and security properties. The second direction is at the intersection of program/binary analysis and verification toward developing trustworthy tools for reasoning about security properties of low-level code and developing mitigations. Opportunities also exist to investigate project-relevant topics of mutual interest. The position has no teaching obligations. Responsibilities include: - conducting independent research in these spaces - developing publications for journals, conferences, and workshops, and presenting papers at conferences and workshops - conducting presentations at sponsor events and technology demonstrations and transitions Required Qualifications - PhD in computer science or engineering (or a related field - Strong background and publication record in any of the following areas: heterogeneous computing, operating systems/hypervisors, compilers/run-times, formal verification, proof assistants and verification tools, binary/program analysis, or compilers Preferred Qualifications - Experience developing funding proposals and managing funded projects. Appointment Type Restricted Salary Information Commensurate with Experience Review Date 10/25/2024 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact K Atkins at ************* during regular business hours at least 10 business days prior to the event.

We are seeking a visionary researcher to lead the development of transformative global water and infrastructure datasets that underpin AI and process-based hydrologic models. You will be responsible for creating the human-dimension inputs that power the Global Water Model. The successful candidate will join the Marston Research Group within the Department of Civil and Environmental Engineering at Virginia Tech. While the primary focus is to conduct and disseminate high-impact research on human-water systems, the position is designed to accelerate your professional growth. Opportunities are provided for diverse career development activities, including: * Skill Development: Acquiring new research techniques (e.g., AI/ML, data assimilation). * Networking: Establishing a strong professional network within a multinational research consortium. * Funding Acumen: Participating in proposal development. * Leadership: Mentoring undergraduate and graduate students. * Reporting: Preparing detailed research and progress reports. * Teaching: Pursuing limited teaching opportunities as appropriate. A formalized mentoring plan will be co-developed with Dr. Marston at the start of the position to align these opportunities with your long-term career goals. Required Qualifications * Ph.D. in Civil Engineering, Hydrology, Computer Science, Earth System Science, or related fields. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. * Strong proficiency in Python or R and experience with High-Performance Computing. * Proficient communication skills. * Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications * Experience in remote sensing or machine learning applications in environmental systems. * Experience with Google Earth Engine, GIS, and/or AI agents for data processing. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience and qualifications. Hours per week 40 Review Date 1/26/2026 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dr. Landon Marston at *************** during regular business hours at least 10 business days prior to the event.

We invite applications for postdoctoral associate or research associate positions in theoretical Quantum Information Science in the Physics Department of Virginia Tech. The focus of these positions will be on quantum computing and simulation, quantum networks, and quantum control. There will also be an opportunity to test theoretical results on cloud quantum processors (Virginia Tech is in IBM's Quantum Hub, which provides access to 20+ qubit devices). The successful candidates will join a vibrant research environment in the quantum information groups of Profs. Sophia Economou and Edwin Barnes at Virginia Tech. There will be plenty of opportunities for collaboration with other members of the group and with some of the leading experimental and theory groups around the world. Our group is part of the newly established DOE Quantum Center “Codesign for quantum advantage” (************************************ and there will be opportunities for collaboration with the researchers of the center. The Postdoctoral and Senior Research Associate positions will also involve opportunities for travel (once scientific travel is restored and safe) to present in conferences and to collaborate with other groups. Postdoctoral and Senior Research Associates will conduct research in the above areas and disseminate results in journal publications and conference presentations. Senior Research Associates will have additional responsibilities with mentoring the junior group members and potentially assisting the PIs with grant management. Required Qualifications - Postdoctoral associate applicants must hold a Ph.D. in either Quantum Information Science, Theoretical Condensed Matter, AMO Physics or a closely related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Senior research associate applicants must have a Ph.D. in either Quantum Information Science, Theoretical Condensed Matter, AMO Physics or a closely related field. Prior postdoctoral experience. A strong background in Quantum Mechanics and programming skills are necessary. Preferred Qualifications Knowledge of concepts and techniques from Quantum Information Science are preferred. Experience with Python and Mathematica is preferred. Appointment Type Restricted Salary Information Commensurate with experience Review Date 1/5/2024 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Jackie Woodyard at ************** during regular business hours at least 10 business days prior to the event.

The Entomology Department is looking for a Postdoctoral Associate for the cytogenetic and genomic study of arboviral vector Aedes aegypti. The main objective of these studies is to introduce innovative approaches for developing next-generation-quality physical genome maps for disease vectors. The candidate will characterize chromosomal rearrangements in the arboviral vector Aedes aegypti genome, including their distribution across the global tropics and their role in the mosquitoes' adaptation to different climatic variables. The candidate will also study the molecular basis of genetic divergence underlying inversion-associated phenotypes. Required Qualifications The candidate must have a Ph.D. in genetics, cell biology, entomology, or a related discipline received in last five years with at least one year of eligibility remaining. Experience in molecular biology is required, including the use of modern technologies such as Hi-C proximity ligation, advanced cytogenetics, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures; excellent organizational, interpersonal, and communication skills. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550-65,029 Hours per week 40 Review Date 11/28/2025 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dr. Maria Sharakhova at *************** during regular business hours at least 10 business days prior to the event.

We invite applications for postdoctoral associate or research associate positions in theoretical Quantum Information Science in the Physics Department of Virginia Tech. The focus of these positions will be on quantum computing and quantum simulation, quantum networks, and quantum control. There will also be an opportunity to test theoretical results on cloud quantum processors (Virginia Tech is in IBM's Quantum Hub, which provides access to 20+ qubit devices). The successful candidates will join a vibrant research environment in the quantum information groups of Profs. Sophia Economou and Edwin Barnes at Virginia Tech. There will be plenty of opportunities for collaboration with other members of the group and with some of the leading experimental and theory groups around the world. Our group is part of the DOE Quantum Center “Codesign for quantum advantage” (************************************ and there will be opportunities for collaboration with the researchers of the center. The Postdoctoral and Senior Research Associate positions will also involve opportunities for travel to present in conferences and to collaborate with other groups. Postdoctoral and Senior Research Associates will conduct research in the above areas and disseminate results in journal publications and conference presentations. Senior Research Associates will have additional responsibilities with mentoring the junior group members and potentially assisting the PIs with grant management. Required Qualifications - Postdoctoral associate applicants must hold a Ph.D. in either Quantum Information Science, Theoretical Condensed Matter, AMO Physics or a closely related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. A strong background in Quantum Mechanics and programming skills are necessary. - Senior research associate applicants must have a Ph.D. in either Quantum Information Science, Theoretical Condensed Matter, AMO Physics or a closely related field. Prior postdoctoral experience. A strong background in Quantum Mechanics and programming skills are necessary. Preferred Qualifications Knowledge of concepts and techniques from Quantum Information Science are preferred. Experience with Python and Mathematica is preferred. Appointment Type Restricted Salary Information Commensurate with experience Review Date 08/15/2024 Additional Information Applicants should complete the faculty application online at *************** posting xxxxx and attach a letter of application addressing the applicant's qualifications for this position; current curriculum vitae; and the names of three references. Also please arrange to have three letters of recommendation sent directly to Prof. Sophia Economou at *************** and Prof. Edwin Barnes at ***************. Review of applications will begin immediately and continue until the position is filled. Virginia Tech is an Equal Opportunity/Affirmative Action employer and offers a wide range of networking and development opportunities to women and minorities in science and engineering. For details, contact Ms. Jacqueline Woodyard, Physics Department, *************, or call TTY **************. The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Jacqueline Woodyard at ************** during regular business hours at least 10 business days prior to the event.

with the Department of Mathematics at Virginia Tech, Blacksburg, VA. The postdoctoral fellow will work under the supervision of Prof. Yingda Cheng on computational methods and modeling for kinetic equations. The research conducted will involve development of numerical methods, development and analysis of reduced order models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech's campus in Blacksburg, VA. The postdoc will have a teaching load of 2 classes per year. The position is for two years, and can be renewed for a third year pending satisfactory performance. Required Qualifications ● A PhD in Mathematics or an equivalent area, and with a strong background in numerical analysis and scientific computing. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. ● Strong background in the development and/or application of numerical methods for partial differential equations. ● Experience in implementation of numerical methods. ● Interest and experience in at least one application from the areas mentioned above. ● Ability to work with others in an interdisciplinary environment. Preferred Qualifications ● Experience with the scientific computing library and parallel programming. ● Experience with writing scientific articles. ● Experience with writing scientific machine learning. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date December 1, 2025 Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Sarah McDearis at ************* during regular business hours at least 10 business days prior to the event.

The International Agricultural Trade Research Consortium (IATRC) at Virginia Tech in collaboration with the U.S. Department of Agriculture's (USDA) Office of the Chief Economist (OCE) invites applications for an exciting Senior Research Associate position specializing in the economic analysis of agricultural markets and policy. Funding for this position is for up to one year with an anticipated start date beginning January 2025. The successful candidate will work closely with senior economists within the OCE and lead researchers at the Center for Agricultural Trade at Virginia Tech to conduct domestic and global economic policy analysis of emerging issues relevant to U.S. agricultural industries. Research applications will be expected to contribute to a broad range of fields represented by USDA/OCE. Specific examples could include but are not limited to: U.S. farm policies and the Farm Bill, climate change and agriculture, biofuels, land use, crop insurance, environmental regulations, agricultural productivity, and global trade policies affecting U.S. agricultural markets. The successful candidate is expected to be proficient working with large datasets and employing domestic and international modeling frameworks to generate timely analytical summaries, policy briefs and/or reports, and submitting research to academic journal outlets. Presentation and dissemination of analytical results to academic audiences, policymakers, and agricultural industries at federal, state and/or professional venues is welcomed and encouraged. The structure of the position is negotiable and could include a one-year position as senior research associate, or partial year appointment for candidates with existing appointments and approval for research leave. We anticipate occasional travel to visit USDA's Office of the Chief Economist in Washington, D.C. for research collaboration and advancing research program priorities. Background: The International Agricultural Trade Research Consortium (IATRC) is a unique consortium of researchers and policymakers conducting applied economic analysis of domestic and international agricultural markets and policy. Today, the IATRC has approximately 250 members representing 31 countries and is administered by the College of Agricultural and Life Science's Center for Agricultural Trade (CAT) at Virginia Tech. The U.S. Department of Agriculture's (USDA) Office of the Chief Economist (OCE) is the focal point for economic and policy-related research and analysis for the U.S. Department of Agriculture. OCE aims to inform public and private decision makers by providing information and data-driven analyses of current and emerging issues impacting agricultural markets. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Required Qualifications • Ph.D. in agricultural and/or applied economics, economics, or a closely related discipline • Coursework/experience in quantitative analyses, applied econometrics, and/or data science • Record of peer-reviewed publications, advanced working papers, or policy reports related to the research focus of the position Preferred Qualifications • Proficiency and experience across a variety of modeling platforms such as R, Stata, Python, Matlab, GAMS, and related programming languages. • Experience conducting domestic policy evaluation and/or benefit-cost analyses. • Spatially explicit research experience involving county, state, domestic or global economic analysis. Appointment Type Restricted Salary Information $65,000 to $75,000 Review Date 12/02/2024 (open until filled) Additional Information The successful candidate will be required to have a criminal conviction check. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law. If you are an individual with a disability and desire an accommodation, please contact Dr. Jason Grant at ************** during regular business hours at least 10 business days prior to the event.