Research fellow jobs in Roanoke, VA - 245 jobs

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Responsibilities for Research Fellows will vary according to the needs of each specific department. Each Research Fellow is required to devote an average of 20 hours per week to his/her responsibilities for the number of weeks specified in the contract. This position provides the principal framework in which doctoral students learn, under faculty guidance, to become effective researchers, proposal writers, and teachers. Each Research Fellow will work under the mentorship, direction, and supervision of the professor assigned to him/her. Essential Functions and Responsibilities 1. To research scientific and/or engineering topics in order to publish peer reviewed journal articles under the mentorship of a principal investigator (Dean, Associate Dean, Department Chair, or Professor), who could be funded internally or externally on a grant or contract. 2. To present scientific and/or engineering research at national and/or international conferences. 3. To assist in and/or teach undergraduate appropriate level courses under the direct supervision of a faculty member. 4. To prepare other articles, reports, and presentations associated with a project and possibly to communicate results to outside sponsors of the research. 5. To be present for all necessary events put on by the School of Engineering and the Graduate School. 6. To attend all orientations and training sessions per the direction of the School of Engineering and the Graduate School. 7. To uphold and follow the Graduate School Honor Code and Graduate Assistantship Handbook. Qualifications, Credentials, and Competencies Minimum Qualifications: Accepted student in Liberty University's School of Engineering doctoral program. Preferred Qualifications: Experience with or an understanding of research. Target Hire Date 2025-08-11 Time Type Part time Location Lynchburg - In Office The University is an Equal Opportunity Employer. We believe it is our moral and legal obligation to meet the responsibility of ensuring that all management practices regarding employees are conducted in a nondiscriminatory manner. In compliance with Title VII of the 1964 Civil Rights Act, and other applicable federal and state statutes, all recruiting, hiring, training, and promoting for all job classifications will be administered without regard to race, color, ancestry, age, sex, national origin, pregnancy or childbirth, disability, military veteran status or other applicable status protected by law, including state of employment protected classes. It is, therefore, our policy and intention to evaluate all employees and prospective employees strictly according to the requirements of the job. All personnel related activities such as compensation, benefits, transfers, job classification, assignments, working conditions, educational assistance, terminations, layoffs, and return from layoffs, and all other terms, conditions and privileges of employment will be administered without regard to race, color, ancestry, age, sex, national origin, pregnancy or childbirth, disability, military veteran status or other applicable status protected by law, including all applicable state of employment protected classes. The University is a Christian religious-affiliated organization; and as such, is not subject to religious discrimination requirements. The University's hiring practices and EEO discrimination practices are in full compliance with both federal and state law. Federal law creates an exception to the “religion” component of the employment discrimination laws for religious organizations (including educational institutions), and permits them to give employment practice preference to members of their own religious beliefs.

Apply now Back to search results Job no: 533548 Work type: Research Faculty Senior management: Vice President for Research Department: VTNSI Job Description The Mission Systems Division of the Virginia Tech National Security Institute invites applications for a postdoctoral associate position in Hypersonic Aerodynamics. The successful candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models; generating CFD datasets using new models for specific applications. This position is based at Virginia Tech's main campus in Blacksburg, VA and offers opportunities for teaching and service-related activities, if desired, to successful candidates. More information on Prof. Liselle Joseph and the PHASE research group can be found at the following link: ********************************************************** Required Qualifications * Ph.D. in Aerospace or Mechanical Engineering. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. * US Citizenship * Demonstrated expertise in CFD for Hypersonic flows * Deep knowledge of aerothermodynamics of hypersonic flows, compressible flows, and mechanics of turbulence * Proficiency in High Performance Computing & Linux * A proven track record of peer-reviewed publications Preferred Qualifications * Experience with US3D CFD software * Experience developing numerical CFD methods for integration into larger CFD codes * Background in turbulence and transition modeling for CFD * Strong communication skills * Experience mentoring graduate or undergraduate students Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Starting at $70,000; commensurate with experience Hours per week 40 hours per week Review Date July 30, 2025 Additional Information Applicant must be a US Citizen. 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 Sue Kass at ************ during regular business hours at least 10 business days prior to the event. Advertised: June 30, 2025 Applications close:

Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable packaging solutions. The individual will be responsible for: * Design and conduct experimental research on transport packaging performance, including vibration, shock, and compression testing of packaging systems. * Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. * Investigate logistics optimization strategies for packaging and distribution systems, including unit load design and supply chain efficiency. * Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and presentations. * Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies, assessing their applicability to wooden packaging systems. * Develop practical design guidelines, simplified analytical models, and best practices documentation for industry implementation of vibration testing and design optimization. * Prepare research findings for publication in peer-reviewed journals and present results at national and international conferences. * Collaborate with industry partners on applied research projects and technology transfer initiatives, including workshop delivery and distribution of design tools. * Mentor graduate students on research projects and laboratory procedures. * Participate in the development of grant proposals for external funding from NSF, USDA NIFA, and other federal agencies. * Limited teaching or outreach responsibilities may be assigned depending on interest and departmental needs. * Given the nature of this work, this position is not eligible for telework. Required Qualifications * Ph.D. in Packaging Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, Wood Science, or 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. * Strong background in computational mechanics, structural dynamics, or wood mechanics. * Experience with finite element analysis and modal analysis techniques. * Experience with vibration analysis, dynamic testing, or mechanical systems characterization. * Proven record of publishing refereed journal articles and presenting at professional conferences. * Strong understanding of experimental design, data collection, and statistical analysis. * Ability to work both independently and collaboratively in an interdisciplinary research environment. * Excellent technical writing, communication, and interpersonal skills. * Ability to lift or carry 50 lbs, obtain and maintain a valid Virginia Driver's license. * Position requires considerable walking, standing, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications * Experience applying machine learning models to structural systems, predictive modeling, or optimization problems related to packaging or mechanical systems. * Background in logistics optimization, supply chain modeling, or distribution network analysis. * Familiarity with vibration data analysis techniques. * Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. * Programming skills in Python, MATLAB, R, or similar computational platforms. * Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. * Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and test protocol development. * Experience with wood material properties, orthotropic material modeling, or joint behavior under cyclic loading. Pay Band {lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Hours per week 40 Review Date December 8, 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 Trish Colley at ************** during regular business hours at least 10 business days prior to the event.

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.

California, US residents click here. The job details are as follows: Who We Are We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs. United Therapeutics (Nasdaq: UTHR) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter's pulmonary arterial hypertension (PAH). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease (PH-ILD) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis (PF). The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option. How you'll contribute You're passionate about science and want to be in a hands-on role supporting our transgene analysis team. The Research Associate I will assist with basic Molecular Biology techniques and will focus on generating protein expression data from cell and tissue samples. Apply scientific research methodologies to execute experimental protocols, troubleshoot issues, and manage daily tasks efficiently Perform cell and tissue homogenization and measure total protein content using a BioTEK plate reader Conduct and interpret SDS-PAGE Western blotting to evaluate transgene expression in cell and tissue samples Utilize an automated capillary western blot (Protein Simple) to assess transgene expression and serum antibody detection Generate quantitative western blot data using compass software and excel Receive, process, and inventory samples received from collaborators Complete western analysis of pig cell and tissue lysates, including protein quantification, sample and buffer preparation, electrophoresis and blotting, as well as detection Maintain inventories of porcine tissue, plasma, and serum samples (both in freezers and digital databases) Follow laboratory safety protocols and handle biohazardous materials, including human or animal cells and tissues Assist with general lab maintenance, including cleaning, autoclaving biohazardous waste, preparing buffers, and ordering supplies For this role you will need Minimum Requirements Bachelor's Degree in molecular biology or a related field of study 1+ years of experience in hands on in a research lab setting and 1+ years of experience in quantitative biochemical or biological assays (e.g., DNA/protein quantification, Western blot, ELISA) Ability to handle and process animal samples for a variety of analysis including Southern and Western analysis Hands on experience using Southern analysis to determine transgene presence in DNA samples Familiarity with concept of Western analysis Proficient in MS Office At United Therapeutics, our mission and vision are one. We use our enthusiasm, creativity, and persistence to innovate for the unmet medical needs of our patients and to benefit our other stakeholders. We are bold and unconventional. We have fun, we do good. Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit ****************************************************** United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities.

The NAGPRA Collections Researcher will produce research, documentation, and analysis of Indigenous material culture within the Washington and Lee University's collections to contribute to the responsible management of these materials and assist in advancing the University's compliance with the Native American Graves Protection and Repatriation Act (NAGPRA). The researcher will report to the Associate Dean of Administrative Affairs for the College. This is a full-time, fixed-term, benefit eligible position with an appointment term of one year. There is a possibility of fixed-term renewal based upon programmatic needs and performance. Washington and Lee University actively promotes a dynamic and welcoming environment that allows students and employees of multiple backgrounds and perspectives to learn, work, and thrive together. Successful candidates will contribute to that environment and exhibit potential for excellence in their areas of expertise. Visit jobs.wlu.edu to learn more about working at W&L, our benefits, the W&L community, and living in the area. Essential Functions: Identify and assess Indigenous material culture, situating objects within appropriate geographic, cultural, and chronological contexts through analysis of materials, forms, styles, and related archival documentation. Work closely with an external NAGPRA consulting group to develop compliance documents and prepare federally compliant inventories, summaries, and notices. Foster respectful and ongoing relationships with Tribal Nations through consultation, communication, and collaboration in all stages of NAGPRA-related activities. Coordinate logistics for consultation visits, including scheduling, documentation, and access to collections. Develop and maintain accurate documentation of NAGPRA-related research, inventories, and consultation records in accordance with federal and institutional standards. Assist in developing duty-of-care standards for the collection in consultation with Tribal representatives and the University's NAGPRA consultants. Collaborate with institutional stakeholders, including the University Collections of Art and History, Special Collections and Archives, the Office of General Counsel, and the Provost's Office, to ensure coordinated and compliant practices. Contribute to educational initiatives and public programming that raise awareness of NAGPRA, Indigenous heritage, and ethical stewardship. May support the formation of a NAGPRA review committee and assist in preparing federal grant applications related to NAGPRA repatriation. Related duties as assigned. Minimum Qualifications: A bachelor's degree is required. Master's or PhD in Anthropology, Archeology, History, Museum Studies, Sociology or a related field is preferred. Experience working with archival, museum, archeological, or similar collections, including locating and analyzing historical documents and working with culturally relevant artifacts. Three or more years of such experience is desirable. Familiarity with NAGPRA processes and federal regulations (43 CFR 10) strongly preferred. Knowledge of Indigenous material culture, archaeology, and artifact typologies, with the ability to identify and contextualize cultural objects is preferred. Experience working collaboratively with Tribal Nations and Indigenous communities or experience from which a similar skillset is derived. Strong organizational, analytical, and writing skills. Experience or training in archival practices, including organizing paper and digital records. Digitation skills. Working knowledge of Microsoft Office suite Ability to work effectively across multiple environments, including archives, museum collections, and field settings. Valid driver's license and ability to travel occasionally. Application Instructions: Review of applications will begin in mid-January 2026 and continue until the position is filled. Required materials include: Cover letter Resume Names and contact information for three professional references Application instructions for internal and external candidates can be found at ********************************************************* Physical Requirements: Fine Motor Dexterity: Picking, pinching, typing or otherwise working, primarily with fingers rather than with whole hand or arm as in handling. Grasping: Applying pressure to an object with the fingers and palm. Repetitive motions: Making substantial movements (motions) of the wrists, hands, and/or fingers. Walking: Moving about on foot to accomplish tasks, particularly for long distances or moving from one work site to another. Standing: Remaining upright on the feet, particularly for sustained periods of time. Balancing: Maintaining body equilibrium to prevent falling when walking, standing or crouching on narrow, slippery or erratically moving surfaces. This factor is important if the amount and kind of balancing the amount and kind of balancing exceeds that needed for ordinary locomotion and maintenance of body equilibrium. Climbing: Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like, using feet and legs and/or hands and arms. Body agility is emphasized. This factor is important if the amount and kind of climbing required exceeds that required for ordinary locomotion. Stooping: Bending body downward and forward by bending spine at the waist. This factor is important if it occurs to a considerable degree and requires full use of the lower extremities and back muscles. Kneeling: Bending legs at knee to come to a rest on knee or knees. Crouching: Bending the body downward and forward by bending leg and spine. Reaching: Extending hand(s) and arm(s) in any direction. Pushing: Using upper extremities to press against something with steady force in order to thrust forward, downward or outward. Pulling: Using upper extremities to exert force in order to draw, drag, haul or tug objects in a sustained motion. Lifting: Raising objects from a lower to a higher position or moving objects horizontally from position to position. This factor is important if it occurs to a considerable degree and requires the substantial use of the upper extremities and back muscles. Working Conditions: The worker is not substantially exposed to adverse environmental conditions. Types of Work: Medium work: Exerting up to 50 pounds of force occasionally, and/or up to 20 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects Position Type: Exempt, Full Time, Benefit Eligible - Fixed Term (Fixed Term) Minimum Pay: $57,908.00 - Pay Commensurate with Experience Washington and Lee is an Equal Opportunity Employer seeking candidates committed to high standards of scholarship, performance, professionalism, and to a welcoming campus community. Job description requirements are representative, but not all‐inclusive of the knowledge, skill, and abilities needed to successfully perform this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential functions.

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

Project Title: Engineering Optogenetic Control of Feedstock Utilization in Yarrowia lipolytica We are seeking a highly motivated and skilled individual to join a collaboration between the Senger and Wright research groups as a Postdoctoral Research Associate. The successful candidate will play a central role in a multidisciplinary project aimed at engineering programmable CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research at the intersection of synthetic biology, metabolic engineering, and systems biology with applications in sustainable biomanufacturing. The successful candidate will contribute to the development of a strain-engineering platform that enables wavelength-specific optical regulation of feedstock catabolism and fatty acid biosynthesis. This includes building and refining a genome-scale metabolic model of Y. lipolytica, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed strains capable of efficiently converting diverse feedstocks into valuable bioproducts. Required Qualifications Ph.D. in Synthetic Biology, Metabolic Engineering, Systems Biology, Chemical Engineering, Biological Engineering, or a related field. 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. Strong background in molecular biology and genetic engineering of eukaryotic microbes. Experience with synthetic biology tools such as modular cloning, CRISPR/Cas systems, and transcriptional regulation. Demonstrated ability to work independently and as part of a team. Excellent written and oral communication skills. Preferred Qualifications Experience with Yarrowia lipolytica or other non-model yeasts. Expertise in optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman spectroscopy, flow cytometry, or single-cell analysis tools. Competence in bioinformatics tools for model refinement or omics integration. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550-65,029 Hours per week 40 Review Date 06/22/2025 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 Robert "Clay" Wright at *************** during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 534892 Work type: Research Faculty Senior management: Natural Resources Department: Sustainable Biomaterials Job Description Transportation Packaging and Distribution Systems Research The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression testing, and thermal performance evaluation. Through collaborative partnerships with industry and government agencies, we conduct cutting-edge research in transport packaging performance, unit load design, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems, predictive modeling for packaging performance, and optimization of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics, product protection, and sustainable packaging solutions. The individual will be responsible for: * Design and conduct experimental research on transport packaging performance, including vibration, shock, and compression testing of packaging systems. * Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. * Investigate logistics optimization strategies for packaging and distribution systems, including unit load design and supply chain efficiency. * Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and presentations. * Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies, assessing their applicability to wooden packaging systems. * Develop practical design guidelines, simplified analytical models, and best practices documentation for industry implementation of vibration testing and design optimization. * Prepare research findings for publication in peer-reviewed journals and present results at national and international conferences. * Collaborate with industry partners on applied research projects and technology transfer initiatives, including workshop delivery and distribution of design tools. * Mentor graduate students on research projects and laboratory procedures. * Participate in the development of grant proposals for external funding from NSF, USDA NIFA, and other federal agencies. * Limited teaching or outreach responsibilities may be assigned depending on interest and departmental needs. * Given the nature of this work, this position is not eligible for telework. Required Qualifications * Ph.D. in Packaging Science, Wood Science, Mechanical Engineering, Industrial and Systems Engineering, Wood Science, or 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. * Strong background in computational mechanics, structural dynamics, or wood mechanics. * Experience with finite element analysis and modal analysis techniques. * Experience with vibration analysis, dynamic testing, or mechanical systems characterization. * Proven record of publishing refereed journal articles and presenting at professional conferences. * Strong understanding of experimental design, data collection, and statistical analysis. * Ability to work both independently and collaboratively in an interdisciplinary research environment. * Excellent technical writing, communication, and interpersonal skills. * Ability to lift or carry 50 lbs, obtain and maintain a valid Virginia Driver's license. * Position requires considerable walking, standing, stooping, and bending, and requires the use of personal protective equipment. Preferred Qualifications * Experience applying machine learning models to structural systems, predictive modeling, or optimization problems related to packaging or mechanical systems. * Background in logistics optimization, supply chain modeling, or distribution network analysis. * Familiarity with vibration data analysis techniques. * Experience with Monte Carlo simulation, uncertainty quantification, or sensitivity analysis. * Programming skills in Python, MATLAB, R, or similar computational platforms. * Experience with data acquisition systems, accelerometer arrays, and sensor integration for dynamic testing. * Knowledge of packaging performance testing standards (ASTM D4169, ISTA) and test protocol development. * Experience with wood material properties, orthotropic material modeling, or joint behavior under cyclic loading. Pay Band {lPayScaleID} Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Hours per week 40 Review Date December 8, 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 Trish Colley at ************** during regular business hours at least 10 business days prior to the event. Advertised: November 21, 2025 Applications close:

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.

California, US residents click here (******************************************************************************************************************************************* . **The job details are as follows:** **Who We Are** We are the first publicly-traded biotech or pharmaceutical company to take the form of a public benefit corporation. Our public benefit purpose is to provide a brighter future for patients through the development of novel pharmaceutical therapies; and technologies that expand the availability of transplantable organs. United Therapeutics (Nasdaq: **UTHR** ) seeks to travel down the corridors of indifference to develop treatments for rare, deadly diseases. We were founded in 1996 by a family seeking a cure for their daughter's pulmonary arterial hypertension ( **PAH** ). Today, we have six FDA-approved therapies that treat PAH, pulmonary hypertension associated with interstitial lung disease ( **PH-ILD** ) and neuroblastoma, a rare pediatric cancer. Our near-term pipeline seeks to develop additional therapies for PAH and pulmonary fibrosis ( **PF** ). The cure for end-stage life-threatening diseases like PAH, PH-ILD, PF, and many others is an organ transplant, but only a small percentage of donated organs are available to address the vast need. For this reason, we are working to create manufactured organs to address the shortage of kidneys, hearts, lungs, and livers available for transplant. We believe an unlimited supply of tolerable, transplantable organs will eliminate the transplant waiting list and cure end-stage organ diseases for which transplant is not currently an option. **How you'll contribute** You're passionate about science and want to be in a hands-on role supporting our transgene analysis team. The Research Associate I will assist with basic Molecular Biology techniques and will focus on generating protein expression data from cell and tissue samples. + Apply scientific research methodologies to execute experimental protocols, troubleshoot issues, and manage daily tasks efficiently + Perform cell and tissue homogenization and measure total protein content using a BioTEK plate reader + Conduct and interpret SDS-PAGE Western blotting to evaluate transgene expression in cell and tissue samples + Utilize an automated capillary western blot (Protein Simple) to assess transgene expression and serum antibody detection + Generate quantitative western blot data using compass software and excel + Receive, process, and inventory samples received from collaborators + Complete western analysis of pig cell and tissue lysates, including protein quantification, sample and buffer preparation, electrophoresis and blotting, as well as detection + Maintain inventories of porcine tissue, plasma, and serum samples (both in freezers and digital databases) + Follow laboratory safety protocols and handle biohazardous materials, including human or animal cells and tissues + Assist with general lab maintenance, including cleaning, autoclaving biohazardous waste, preparing buffers, and ordering supplies **For this role you will need** **Minimum Requirements** + Bachelor's Degree in molecular biology or a related field of study + 1+ years of experience in hands on in a research lab setting and + 1+ years of experience in quantitative biochemical or biological assays (e.g., DNA/protein quantification, Western blot, ELISA) + Ability to handle and process animal samples for a variety of analysis including Southern and Western analysis + Hands on experience using Southern analysis to determine transgene presence in DNA samples + Familiarity with concept of Western analysis + Proficient in MS Office At United Therapeutics, our mission and vision are one. We use our enthusiasm, creativity, and persistence to innovate for the unmet medical needs of our patients and to benefit our other stakeholders. We are bold and unconventional. We have fun, we do good. Eligible employees may participate in the Company's comprehensive benefits suite of programs, including medical / dental / vision / prescription coverage, employee wellness resources, savings plans (401k and ESPP), paid time off & paid parental leave benefits, disability benefits, and more. For additional information on Company benefits, please visit ****************************************************** United Therapeutics Corporation is an Equal Opportunity Employer, including veterans and individuals with disabilities. _We strive to be an organization that engages the minds, hearts, and most spirited efforts of each of our employees. Our sense of purpose transforms what we do from work into mission, occupation into vocation and achievement into success._ _We challenge our employees with innovative and revolutionary projects, offer an environment which fosters high-level job performance and provide a highly competitive total rewards package. This is what makes United Therapeutics a stimulating place to work._

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Apply now Back to search results Job no: 533270 Work type: Research Faculty Senior management: Agriculture & Life Sciences Department: Biological Systems Engineering Job Description Project Title: Engineering Optogenetic Control of Feedstock Utilization in Yarrowia lipolytica We are seeking a highly motivated and skilled individual to join a collaboration between the Senger and Wright research groups as a Postdoctoral Research Associate. The successful candidate will play a central role in a multidisciplinary project aimed at engineering programmable CRISPRai and optogenetic control systems and developing predictive metabolic models for the oleaginous yeast Yarrowia lipolytica. This position offers a unique opportunity to conduct cutting-edge research at the intersection of synthetic biology, metabolic engineering, and systems biology with applications in sustainable biomanufacturing. The successful candidate will contribute to the development of a strain-engineering platform that enables wavelength-specific optical regulation of feedstock catabolism and fatty acid biosynthesis. This includes building and refining a genome-scale metabolic model of Y. lipolytica, developing optogenetic and CRISPR-based logic circuits, and using Raman spectroscopy to monitor cellular responses and validate model predictions. The work will directly inform the design of multiplexed strains capable of efficiently converting diverse feedstocks into valuable bioproducts. Required Qualifications Ph.D. in Synthetic Biology, Metabolic Engineering, Systems Biology, Chemical Engineering, Biological Engineering, or a related field. 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. Strong background in molecular biology and genetic engineering of eukaryotic microbes. Experience with synthetic biology tools such as modular cloning, CRISPR/Cas systems, and transcriptional regulation. Demonstrated ability to work independently and as part of a team. Excellent written and oral communication skills. Preferred Qualifications Experience with Yarrowia lipolytica or other non-model yeasts. Expertise in optogenetics, light-controlled gene expression systems, and photoreceptors. Familiarity with metabolic modeling (e.g., COBRA methods), genome-scale modeling, or flux balance analysis. Experience with Raman spectroscopy, flow cytometry, or single-cell analysis tools. Competence in bioinformatics tools for model refinement or omics integration. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information 53,550-65,029 Hours per week 40 Review Date 06/22/2025 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 Robert "Clay" Wright at *************** during regular business hours at least 10 business days prior to the event. Advertised: May 29, 2025 Applications close:

Applications are invited for a Research Associate Professor (non-tenure track) with the Systems Software Research Group (**************************** at Virginia Tech. The position involves conducting research at the intersection of program analysis and formal verification toward developing trustworthy tools for reasoning about safety and security properties. Opportunities exist to investigate a broad set of topics including highly scalable program analysis tools for detecting violations of safety and security properties, techniques for verified operating system kernel extensions, logic frameworks for automatic reasoning of security vulnerabilities, verified decompilation, and automatic patching with provable security properties. Opportunities also exist to investigate project-relevant topics of mutual interest. Required Qualifications - PhD in computer science or computer engineering with background and expertise in any of the following areas are sought: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. - Candidates must have a well-established track record of published research at relevant conferences and journals at the level commensurate with a Research Associate Professor ranking. - Experience developing proposals and managing funded programs as Principal Investigator (or Co-Principal Investigator). - Experience mentoring PhD and MS students. - Excellent communication skills. - Ability to work under limited supervision. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40+ Review Date 10/1/2025 Additional Information Required Application Materials: Resume/CV; Cover Letter; Contact Information for 3 References 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 Cole Tankersley at ************ during regular business hours at least 10 business days prior to the event.

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.

Applications are invited for a Research Associate Professor (non-tenure track) with the Systems Software Research Group (**************************** at Virginia Tech. The position involves conducting research at the intersection of program analysis and formal verification toward developing trustworthy tools for reasoning about safety and security properties. Opportunities exist to investigate a broad set of topics including highly scalable program analysis tools for detecting violations of safety and security properties, techniques for verified operating system kernel extensions, logic frameworks for automatic reasoning of security vulnerabilities, verified decompilation, and automatic patching with provable security properties. Opportunities also exist to investigate project-relevant topics of mutual interest. Required Qualifications * PhD in computer science or computer engineering with background and expertise in any of the following areas are sought: formal verification, proof assistants and verification tools, binary/program analysis, or compilers. * Candidates must have a well-established track record of published research at relevant conferences and journals at the level commensurate with a Research Associate Professor ranking. * Experience developing proposals and managing funded programs as Principal Investigator (or Co-Principal Investigator). * Experience mentoring PhD and MS students. * Excellent communication skills. * Ability to work under limited supervision. Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Hours per week 40+ Review Date 10/1/2025 Additional Information Required Application Materials: Resume/CV; Cover Letter; Contact Information for 3 References 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 Cole Tankersley at ************ during regular business hours at least 10 business days prior to the event.

Apply now Back to search results Job no: 535186 Work type: Research Faculty Senior management: College of Engineering Department: Civil & Environmental Engineering Job Description 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 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. Advertised: January 9, 2026 Applications close:

The Virginia Tech Physics Department invites applications for one postdoctoral associate/research scientist to work with Dr. Vsevolod Ivanov and Dr. Patrick Huber on the Quantum Sensing of Neutrinos (QuSen) project sponsored by DARPA. The successful candidate will conduct research in the areas of computational physics with the goal to develop a framework for understanding excess energy from defect formation in neutrino detectors. Duties may include supervising and coordinating the work of other researchers and personnel, including graduate and undergraduate students, as well as developing future efforts. The successful candidate will be based in Blacksburg, VA, but may be required to travel for conference presentations and international collaboration. Successful candidates at the Research Scientist level will have additional responsibilities with mentoring junior group members, as well as assisting the PIs with grant proposals. The successful candidate will be expected to interact with the broader quantum community at Virginia Tech, which includes the Center for Neutrino Physics, the Virginia Tech Center for Quantum Information Science and Engineering (vtq.vt.edu), the Center of Quantum Architecture and Software Development within the VT Innovation Campus, as well as the Quantum Economic Development Consortium (QED-C), of which Virginia Tech is a member. Required Qualifications The successful applicant must hold a Ph.D. in physics, material science, or a related field. * Strong verbal and written communication skills that are reinforced by active listening skills * Advanced knowledge of the principles of physics * Advanced knowledge of the methods and techniques used for research in computational condensed matter physics * Demonstrated experience of first-principles simulation codes such as VASP, Quantum Espresso, Wien2k or others * Demonstrated experience with phonon and exciton calculations and related properties * Research Scientist candidates must have previous postdoctoral research experience Preferred Qualifications * Demonstrated knowledge of simulating solid state defects, including formation processes with nudged elastic band, molecular dynamics, or related methods Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with experience Hours per week 40 hours - exempt position Review Date 10/25/2025 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 Jackie Woodyard at ************** during regular business hours at least 10 business days prior to the event.