Doctoral Fellow jobs at Wesleyan University

The University of Connecticut Proteomics and Metabolomics Facility (UConn PMF, ***************************** is hiring a Facilities Scientist 2 to assist the Facility Director with quantitative proteomics analysis using advanced mass spectrometry instrumentation and leading bioinformatics software. The PMF opened in 2017 as the University of Connecticut's first proteomics-focused and full service mass spectrometry core facility, and is housed administratively within the Center for Open Research Resources and Equipment (************************ UConn PMF in Storrs has outstanding instrumentation (2 Waters TOFs, 2 Thermo Scientific Orbitraps, and a Bruker tims TOF HT) and is expanding its footprint to the UConn Health medical research campus (Farmington, CT) in Summer 2025 with a brand new Bruker tims TOF Ultra 2 mass spectrometer. UConn PMF exists to provide fully customized analysis to more than 200 faculty across multiple UConn campuses and at other regional academic and industry research institutions. This position will be a full-time appointment and will provide a unique opportunity to work in a rapidly growing and highly productive core facility at a large research university currently ranked in the top 25 of all public universities in the U.S. MINIMUM QUALIFICATIONS * Master's degree in chemistry, biochemistry, analytical chemistry, or related field with at least 3 years of experience, OR Ph.D. degree in a similarly relevant field, with demonstrated experience implementing high resolution mass spectrometry for the analysis of proteins and peptides, and familiarity with operation, maintaining, and troubleshooting high resolution mass spectrometer and nanoflow ultra-high performance liquid chromatography systems. * Publication history that demonstrates successful application of state-of-the-art mass spectrometry for label-free and/or label-based (e.g. Tandem Mass Tags, iTRAQ, SILAC) quantitative proteomics. * Demonstrated experience using common proteomics software platforms for peptide/protein identification and quantification such as Spectronaut, MaxQuant/Andromeda, Proteome Discoverer, Byonic, and/or Scaffold Q+S. * Demonstrated mastery of sample preparation techniques for downstream proteomics analysis such as in-gel/in-solution digestions, co-immunoprecipitations, and processing of whole cell lysates or tissue homogenates for bottom-up proteomics. * Demonstrated clear and effective communication skills while communicating with researchers of varied scientific backgrounds, specifically regarding analytical techniques and informatics methods. * Experience working in a highly collaborative environment that emphasizes comprehensive analysis and one-on-one consultations with researchers. PREFERRED QUALIFICATIONS * Experience with extensive collaborative projects or experience in a core facility setting. * Experience using Bruker tims TOF instrumentation for low input proteomic analysis utilizing DDA-PASEF and DIA-PASEF acquisition methods. * Experience with untargeted metabolomics workflows, including sample preparation and analysis using TOF instrumentation and small molecule identification using Progenesis QI, XCMS, and/or other programs. APPOINTMENT TERMS This is a full-time, 12-month, non-tenure-track position with an anticipated start date in September 2025. Salary will be commensurate with qualifications and experience. Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the American Association of University Professors UConn Chapter (AAUP). The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. For additional information regarding benefits, please visit hr.uconn.edu and explore the sections under the Benefits & Leaves and Engagement & Learning headers. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Faculty and Staff Positions, Search #499108 and submit the following application materials: resume, cover letter, and contact information for three (3) professional references. Questions regarding this search should be addressed to Dr. Jeremy Balsbaugh, Director of COR²E and PMF (**************************). This job posting is scheduled to be removed at 11:55 p.m. Eastern time on December 17, 2025. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

The Center for Algorithms, Data, and Market Design (CADMY) is a cross-university center that seeks to support and further research at the intersection of computer science, data science and economics. CADMY is offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of Computer Science, Data Science, and Economics. We are particularly interested in candidates with interest in algorithms, causal inference, game theory, learning, machine learning, market design, and networks, but all subjects at the intersection of these three scientific disciplines are invited to apply. Applicants must have completed their Ph.D. prior to beginning of their appointment as a Postdoctoral Associate and are expected to have a strong research and publication record. Postdoctoral Associates are expected to be present on the Yale campus three full days per week, contribute to research and publications, and participate in seminars and conferences at Yale. Associates are strongly urged to reside in the New Haven area. The resident Postdoctoral Associate will start their appointment in the Fall of 2026 for a duration of one year; Postdoctoral Associates may apply for a second year of support. CADMY Postdoctoral Associates receive a salary of 90,000 USD per year plus Yale benefits, a travel/research stipend of 10,000 USD, and office space. All applications should include the following: • A cover letter indicating your interest in the position • CV • Job Market Paper or at least one scholarly writing sample (in English) • A research agenda (3 pages max) • Ph.D. program transcript • Two letters of recommendation If you have specific questions about the position for which you are applying, please contact the CADMY Program Administrator via **************. The program is open to all regardless of citizenship. Applicants must have completed their PhD prior to the start of the position. The salary complies with the Yale Office of Postdoctoral Affairs compensation policy and includes a comprehensive benefits package.

As a member of the Assessment Product team, this Psychometric Research Scientist role will work on assessment products to conduct psychometric and research activities that support student learning outcomes through product development, validation, and improvement. This role will support the development of innovative techniques and processes and conduct cutting-edge research studies. Experience with computer adaptive testing (CAT) is preferred. The candidate will conduct classical item analysis studies, norming studies, create CAT input files and run simulations, run calibration and linking studies, create simulation technical reports, conduct analysis is support of the product technical documentation and other analysis as assigned. **Who we are:** At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson. Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ******************************************. **Job:** Research, Efficacy, and Psychometrics **Job Family:** LEARNING\_&\_CONTENT\_DEVELOPMENT **Organization:** Assessment & Qualifications **Schedule:** FULL\_TIME **Workplace Type:** Remote **Req ID:** 21617 \#location

The Innovations Institute at the University of Connecticut (UConn) School of Social Work invites applications for the full-time Sheila A Pires Postdoctoral Research Fellowship in Child, Youth, and Family Behavioral Health Policy. This fellowship offers a unique opportunity for a highly motivated early-career scholar to engage in applied research focused on improving behavioral health systems and outcomes for youth and families through policy and finance research, implementation science, and systems transformation. Innovations Institute is a national center dedicated to advancing equitable and effective behavioral health and social service systems through research, policy, and practice. The Fellow will work closely with interdisciplinary teams on federally and state-funded projects that address critical issues in child, youth, and family systems, including policy and finance reform, systems design, workforce development, and service array implementation. The position provides access to rich data sources, collaborative partnerships with state agencies and national organizations, and mentorship from leading experts in behavioral health systems research. Fellows will be mentored by senior faculty at the Innovations Institute and UConn School of Social Work, whose expertise spans multiple areas of expertise, including Eric Bruns, Michelle Zabel, and Tony Bonadio. The postdoctoral fellow will also benefit from opportunities to work within a foundation-supported national initiative that is engaging dozens of youth behavioral health decision-makers and scholars to improve public sector services for youth and their families. Entitled the Innovations Research Coalition for Youth and Family Behavioral Health, this initiative has developed a research action agenda for the field and is now collaborating to achieve this agenda via new research projects, analysis of large datasets, evidence syntheses, development of new measurement strategies to promote learning systems, and broad-based engagement and dissemination activities. This fellowship is ideal for individuals seeking to build a career in applied research, policy, or academic settings focused on youth and family behavioral health. The Fellow will receive tailored professional development, support for scholarly dissemination, and opportunities to contribute to grant writing and project leadership. The ideal candidate has a commitment to inclusion and improving outcomes for historically marginalized populations. DUTIES AND RESPONSIBILITIES * Conduct applied research in youth and family behavioral health systems and public child- and family-serving systems, with a focus on implementation science and policy analysis. * Collaborate with interdisciplinary teams on projects addressing child and youth behavioral health workforce development, evidence-based practice implementation, and systems design, policy, and transformation, including actively participating in the work of the Innovations Research Coalition for Youth and Family Behavioral Health. * Analyze qualitative and/or quantitative data, including large administrative datasets related to service use and expenditures, and contribute to the development of technical reports, policy briefs, and peer-reviewed publications. * Support grant writing and proposal development for future research and policy initiatives. * Disseminate key findings and guidance through publication in peer-reviewed journals, policy briefs, and white papers. * Present research at national conferences, stakeholder meetings, and academic forums. * Engage with public child- and family-serving agencies, community partners, individuals with lived experience, and national organizations to translate research into practice and policy. * Participate in professional development activities and receive mentorship to support career advancement in research, policy, or academia. * Contribute to a collaborative, inclusive, and equity-focused research environment. * Perform related duties as required. MINIMUM QUALIFICATIONS * PhD, EdD, MD, or equivalent doctoral degree related to social work, public health, psychology, sociology, or a related behavioral health or social science discipline. * Demonstrated experience conducting applied research in behavioral health, implementation science, public policy, or child- and family-serving systems. * Demonstrated experience with or skills required for qualitative and/or quantitative research methods, data analysis, and scholarly writing. * Evidence of research productivity through peer-reviewed publications, technical reports, or policy briefs. * Demonstrated communication and interpersonal skills, including the ability to work collaboratively in interdisciplinary teams. PREFERRED QUALIFICATIONS * Experience working with public child, youth, and family-serving systems such as child welfare, juvenile justice, or behavioral health. * Demonstrated familiarity with implementation science frameworks and methods. * Experience translating research findings into policy, financing, systems design, or practice recommendations. * Proven knowledge of federal and state behavioral health policy and financing landscapes. * Experience with grant writing or contributing to funded research proposals. * Demonstrated ability to engage with community stakeholders, individuals with lived experience, policymakers, or practitioners. APPOINTMENT TERMS This position is a full-time, 12-month appointment that is annually renewable, based on performance and funding availability. The salary range for this position is $62,232 to $75,564 annually, commensurate with experience. The desired start date of Spring 2026 or Summer 2026, flexible based on the candidate's timeline. Position is fully remote with expected travel to the UConn School of Social Work in Hartford, CT, at least twice annually. US Citizenship or an eligible visa in good standing will be accepted. UConn does not participate in E-Verify and therefore cannot support STEM OPT extensions. H1-B visas cannot be supported for this position at this time. A generous benefit package is provided that includes health, retirement, paid time-off, and other benefits. For additional information regarding benefits visit: ****************************************** TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY To apply, please submit the following materials via the UConn Jobs portal at ************************** Faculty and Staff Positions, Search 499288: * A cover letter detailing your interest in the fellowship and how your background aligns with the position. * A curriculum vitae. * A writing sample (e.g., publication, dissertation chapter, or technical report). * Contact information for three (3) professional references who may be asked to provide letters of recommendation. Please direct any questions about the position to Tony Bonadio, Assistant Research Professor, Innovations Institute, at ***************************. Please use the job title as the email header. Review of applications will begin immediately and continue until the position is filled. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community- eligible for opportunities through the New Haven Hiring Initiative or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! Salary Range $92,000.00 - $146,750.00 Overview Yale University Cleanroom is an advanced research core facility with an expanding suite of micro/nanofabrication instruments. We are seeking an experienced Staff Scientist with demonstrated expertise in dry etching, thin-film deposition and metrology. Reporting to the Cleanroom Director, the Staff Scientist will work closely with talented Yale researchers to support cutting-edge research such as quantum science, integrated photonics, superconductivity, and biomedical engineering. The ideal candidate should have a strong interest in teaching, with significant hands-on experience in process development and facility management. A deep knowledge in plasma-related processes and ultra-high vacuum (UHV) system is preferred. Key responsibilities include: 1) Lead the development and optimization of dry etching systems, including O₂ asher, RIE, ICP-RIE, and DRIE. 2) Collaborate with other staff members to manage thin film deposition systems such as CVD, LPCVD, PECVD and ALD. 3) Continuously optimize dry etching process to refine parameters such as etch rates, selectivity, anisotropy, and edge roughness. 4) Ensure seamless integration of dry etching and thin film processes in complex device architectures. 5) Oversee the service and maintenance of advanced instruments in dry etching and thin film growth. 6) Work with other staff, Yale researchers and equipment vendors to update processes and instruments to meet evolving research needs. 7) Apply advanced metrology techniques using 3D optical microscopy, SEM, AFM, reflectometry, profilometry, and ellipsometry.8) Create detailed documentation, including SOPs and tool specifications. 10) Train and mentor the next generation of scientists and engineers in micro/nanofabrication. Required Skills and Abilities 1. Expertise in dry etching (O₂ asher, RIE, ICP-RIE, DRIE) and thin film growth (LPCVD, PECVD, PVD, ALD). 2. Hands-on experience in semiconductor device fabrication, cleanroom facility management, and equipment service and maintenance. 3. Hands-on experience with materials characterization using 3D optical microscopes, SEM, AFM, reflectometers, profilometers, and ellipsometry. 4. Proven experience with process analysis, statistical process control (SPC), and design of experiments (DOE) for process optimization and equipment troubleshooting. 5. Exceptional written and oral communication skills. Preferred Education, Experience and Skills 10+ years hands-on experience in dry etching and thin film growth in the semiconductor industry or in relevant cleanroom facilities. Principal Responsibilities 1. User Training: Refine training methodologies and train and mentor users of the research core, providing guidance and expertise. 2. Experiment Support: Collaborate closely with researchers and lead complex projects requiring customized solutions within the research core. 3. Facility/Instrument Support: Lead and manage research projects within the research core. 4. Technique Development: Contribute to the development of research strategies within the research core and evaluate and implement cutting-edge technologies and methodologies. 5. Data Analysis/Interpretation: Analyze and interpret complex scientific data, providing critical insights and recommendations. 6. Equipment Procurement: Assist in the evaluation, acquisition, and maintenance of research core equipment. 7. Professional Development: Stay updated with emerging research trends and technologies. Participate and present in professional development activities and scientific conferences, representing the research core at conferences and events. 8. Scientific Participation: Collaborate with users on manuscript preparation and grant proposals, as applicable. 9, Staff Training and Mentoring: Mentor and support junior staff members in their professional growth. 10. Leadership: Collaborate with senior core leadership on research core-related initiatives. 11. Finance and Admin: Support the Core Director with development and implementation of strategic plans and budgets for the research core. 12. Vendor Relations: Oversees strategic vendor partnerships, manages negotiations, and evaluates vendor performance for the research core. 13. Education and Outreach: Develop education and outreach activities within the core, including tours, events, etc.. Required Education and Experience Master's Degree in a related discipline and five years of related experience or an equivalent combination of skills, education, and experience. Background Check Requirements All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website. Health Requirements Certain positions have associated health requirements based on specific job responsibilities. These may include vaccinations, tests, or examinations, as required by law, regulation, or university policy. Posting Disclaimer Salary offers are determined by a candidate's qualifications, experience, skills, and education in relation to the position requirements, along with the role's grade profile and current internal and external market conditions. The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the position. Employees will be assigned specific job-related duties through their hiring department. The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives. In accordance with this policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex, sexual orientation, gender identity or expression, race, color, national or ethnic origin, religion, age, disability, status as a special disabled veteran, veteran of the Vietnam era or other covered veteran. Inquiries concerning Yale's Policy Against Discrimination and Harassment may be referred to the Office of Institutional Equity and Accessibility (OIEA). Note Yale University is a tobacco-free campus.

INTRODUCTION The School of Business at the University of Connecticut (UConn) seeks applications for a one-year Postdoctoral Researcher appointment with expertise in real estate economics and/or real estate finance. The position may be renewable for up to an additional two years, depending on annual performance and funding availability. The position will have a start date of January 15, 2026, or as soon as possible thereafter, and will be based in person at the Storrs, Connecticut campus. The position is completely research-focused with the goal to produce academic research that will lead to publication in high-quality real estate (e.g., Journal of Urban Economics, Real Estate Economics, Journal of Real Estate Finance and Economics) or related journals (e.g., Journal of Regional Science, Regional Science and Urban Economics). Research that leads to publication in high-quality business field journals such as finance, accounting, economics, or management is also strongly encouraged (e.g., American Economic Review, Journal of Finance, Journal of Financial Economics, Review of Financial Studies, Journal of Accounting and Economics, Management Science). In addition, the position will entail participation in research grant funding proposal preparation and grant-related activities. There are no teaching responsibilities with this position. The School of Business offers numerous master's and doctoral programs, including MBA programs, a number of specialized master's programs, and a full-time Ph.D. program. It also offers a broad set of undergraduate majors. In addition to its current research portfolio, the School is developing strengths in its healthcare administration and insurance groups, both important for the economy of the State of Connecticut and Next Generation Connecticut. The School houses six research centers/programs focused on Real Estate, Health Care, Data Analytics, Innovation and Entrepreneurship, and Economic Analysis. MINIMUM QUALIFICATIONS * Earned Ph.D. in real estate or a traditional academic field related to real estate. * Evidence of progress toward high-quality publications, such as submitted manuscripts under review at top-tier economics, finance, and/or real estate journals, and past research seminar(s) or national/international peer-reviewed conference presentation(s) experience. * Experience developing independent research ideas, demonstrated through working papers or leading components of collaborative projects. * Evidence of potential to contribute to external funding activities, such as current or past involvement in proposal preparation or reference letter(s) describing relevant qualifications. * The desire and ability to work in a collaborative and dynamic environment with a diverse team, as evidenced by prior experience participating in preparing and revising academic papers for publication consideration in peer-reviewed journals. * Written and oral communication skills, shown through working papers or publications, and presentations. * Demonstrated experience working effectively in a diverse environment. * Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS * Prior research publication(s) and/or forthcoming publication(s) in top finance, economics, and/or real estate journal(s). * Revise-and-resubmit request(s) for articles submitted to top finance, economics, and/or real estate journal(s). * Prior experience with external funding, such as submitting proposals, drafting proposal sections, assisting with data preparation, and/or supporting faculty-led submissions. APPOINTMENT TERMS The expected start date for this appointment is January 15, 2026, or as soon as possible thereafter. This Postdoctoral Research Associate position is a full-time, 12-month appointment that may be renewable for up to two additional academic years. The position includes full benefits (************************************************** The salary for this position is in the range of $70,000 to $75,000. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Faculty and Staff Positions, Search #499201, and upload the following: * Letter of interest * Curriculum vitae (including PhD university, major, dissertation title, chairperson, and date of degree) * Statement of research interests and activity * Commitment to diversity statement * Three professional references (letters to be submitted online by reference writers) This position will remain open till filled, with preference given to applications submitted prior to November 10, 2025. For more information regarding the Center for Real Estate and Urban Economics, please visit the department website at *************************************** For more information about the Department of Finance, please visit ************************************ Inquiries other than applications can be directed to Blaine Aponte at ***********************. This position will be filled subject to budgetary approval. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

A postdoctoral fellowship is available with Professor Abigail Friedman in the Department of Health Policy and Management at the Yale School of Public Health. Professor Friedman is a health economist whose research focuses on the policy drivers of tobacco and substance use. This postdoctoral fellowship will focus on a series of grant-funded projects investigating the policy determinants of tobacco/nicotine and cannabis product use. The successful candidate will hold a PhD by the start of appointment, be proficient in Stata with strong econometric skills, and have experience executing difference-in-differences analyses using newer methods that address concerns about bias from heterogeneous and/or dynamic treatment effects. Attention to detail as well as the ability to work both independently and as part of a larger, multidisciplinary team are critical for this role, as collaborators include health economists, mathematical modelers, and policy experts across several academic institutions. Responsibilities will focus on data preparation, coding and implementation of quasi-experimental analyses under the guidance of Professor Friedman, preparing data tables and figures for presentation and manuscripts, and contribution to manuscript revisions and project development at a level consistent with co-authorship. The candidate may also contribute to the development of new grant applications. Successful applicants may come from backgrounds in a variety of fields, including but not limited to economics, health policy, public policy and sociology. Priority will be given to applicants with an active interest in applying quasi-experimental research designs to understand the policy-relevant determinants of tobacco and substance use. Contingent on success during the postdoctoral periods, opportunities for advancement within this research team may be available. Start date: Winter/Spring 2025 Length of appointment: One year, renewable for two additional years, with possibility of promotion thereafter.

The Audette Lab of Flexible Sensory Processing (Psychological Sciences, UConn Storrs) is seeking a talented scientist for a fully funded, full-time post-doctoral research associate position. The successful candidate will develop and execute a novel research program at the interface of sensory-motor systems, quantitative behavior, and neural computation. The Audette Lab is a new research group funded by the University of Connecticut and the NIH Institute of Deafness and Communication Disorders that aims to uncover fundamental principles of computation in neural circuits. We are building a team with diverse scientific backgrounds to study the interaction between behavioral goals, life experience, and sensory processing. Our experiments merge a range of approaches, including large-scale multi-area in vivo neural recording, wireless electrophysiology in freely moving animals, custom-engineered sensory-motor behaviors, neural perturbation, viral labeling, and computation. Our work is conducted in a custom-designed lab space, with access to strong institutional resources including core facilities, IT support, and administrative infrastructure for research. Please visit ****************** for more information about our research program. This position is an excellent opportunity for a motivated individual preparing for an independent career in Systems Neuroscience or related fields. The position will provide training in cutting edge neuroscience techniques as well as customized mentoring and professional development to support a successful transition to an independent research career in academia or in the private sector. The successful candidate will be encouraged to attend conferences and workshops, will benefit from dedicated technical support personnel, and will gain experience with scientific communication, grant writing, and mentorship. This position provides a strong salary and full benefits in a relatively low-cost-of-living area that is easily accessible to major cities, including Boston, Providence, Hartford, New Haven, and New York City. DUTIES AND RESPONSIBILITIES * Develop and execute a novel research program focused on flexible sensory processing. * Learn and implement cutting-edge electrophysiological and behavioral techniques. * Communicate research findings through peer-reviewed publications and conferences. * Contribute to the training and mentoring of graduate and undergraduate students. * Contribute to the development of research grants for funding of lab training and research. MINIMUM QUALIFICATIONS * PhD in neuroscience, neurobiology, machine learning, biomedical engineering, or related field. * Demonstrated experience independently executing all phases of a scientific program, including conceptualization and design, data collection, data analysis, and interpretation of findings. * Evidence of strong research productivity measured through first-author peer-reviewed publications or equivalent demonstration of rigorous scientific contribution. * Track record of interfacing with the scientific community through talks, posters, conference attendances, and workshops. * Demonstrated experience in systems neuroscience, quantitative behavior, or neural computation, demonstrated through academic, research, or professional activities. * Proven communication and interpersonal skills. PREFERRED QUALIFICATIONS * Track record of mentoring and teaching laboratory and professional skills. * Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g., neural activity and behavior). * Experience working with quantitative behavioral or electrophysiological data collection methods. * Experience working with rodents as a model organism. * Experience in learning and implementing experimental techniques that are new to a research group. * Experience using engineering skills related to electronic circuits, 3D printing design, or Arduino programming. * Experience with survival surgery, viral expression vectors, and histological analysis. APPOINTMENT TERMS This Postdoctoral Research Associate position is a full-time, 12-month appointment that is annually renewable, based on performance and funding availability. The salary range for this position is $62,000 to $68,000 annually, commensurate with experience. The desired start date of Fall 2025 or Winter 2026, flexible based on the candidate's timeline. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Faculty and Staff Positions, Search #499097 to upload a resume, cover letter (addressing your specific interest in the position and outline skills and experience that directly relate to this position), and contact information for three (3) professional references who will provide a letter of support if requested. Please direct questions to Dr. Nicholas Audette at **************************. This job posting will be open until filled. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

Multiple postdoctoral research associate positions are immediately available in Dr. Haoyu Cheng's Lab (****************************** at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, School of Medicine. Successful candidates will engage in the development of innovative computational algorithms for genome analysis. Potential projects include genome assembly, read alignment, variant calling, pangenome analysis, deep learning, as well as other related research on cancer and plant genomes. Preferred qualifications: Ph.D. in Computer Science, Bioinformatics, Computational Biology, Statistics, Genetics, or a related field. Strong programming skills. Demonstrated experience in developing algorithms using high-performance languages such as C, C , Rust, or Python is desirable. Demonstrated expertise in analyzing large-scale genomic sequence data. A strong track record of scientific publications. Good oral and written communication skills in English. About the PI: Dr. Haoyu Cheng is an Assistant Professor at the Department of Biomedical Informatics and Data Science (BIDS) at Yale University, starting in July 2024. His research primarily focuses on developing computational methods for genomic data, with a particular emphasis on de novo genome assembly and its applications. He has developed a suite of algorithms for de novo genome assembly, including hifiasm (Cheng et al, Nature Methods , 2021), hifiasm (Hi-C) (Cheng et al, Nature Biotechnology , 2022) and hifiasm (UL) (Cheng et al, Nature Methods , 2024). These algorithms have been widely used by numerous large-scale sequencing projects, such as the Human Pangenome Reference Consortium (HPRC), the Genome in a Bottle (GIAB), the Vertebrate Genomes Project (VGP), and the Darwin Tree of Life project. His works received the recognition of the K99/R00 Pathway award from the National Institutes of Health (NIH). For more information, please see ***************************** Yale University is an Equal Opportunity/Affirmative Action Employer. We seek candidates who embrace and reflect diversity in the broadest sense. Yale values diversity among its students, staff, and faculty and strongly welcomesapplications from women, persons with disabilities, protected veterans, and underrepresented minorities.

The Physiological Acoustics Lab (*************************** at the University of Connecticut seeks applicants for a postdoctoral position in systems and computational neuroscience. DUTIES AND RESPONSIBILITIES We are seeking highly motivated and creative applicants who can lead a project on Misophonia, a psychological and behavioral disorder in which individuals experience adverse emotional reactions to specific sounds ("auditory triggers"). The broad project goal is to develop computational models of hearing and perception that are fitted to human perceptual measurements and that can be used to characterize and diagnose misophonia. The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve participant outcomes. The project will use a variety of approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there are opportunities for collaboration between departments, institutes, and Universities involved in the project. The primary appointment is in Biomedical Engineering and/or Electrical Engineering. The work will be conducted in collaboration with the Behavioral Neuroscience program in the Psychological Sciences department (Ian Stevenson), the Electrical and Computer Engineering/Biomedical Engineering departments at the University of Connecticut (Monty Escabí), and the Connecticut Institute for Brain and Cognitive Sciences. MINIMUM QUALIFICATIONS * A PhD in Neuroscience, Biomedical Engineering, Computational Neuroscience, or a related field is required. * Experience with experimental design, data analysis, and/or modeling. PREFERRED QUALIFICATIONS * Previous experience, education, or general proven knowledge in hearing or speech and language sciences. * Interdisciplinary research experience in computational and systems neuroscience with prior research experience in human behavior, animal behavior and/or brain physiology. * A strong analytic background, particularly in modeling neural systems and analyzing large datasets. * Experience with acoustic signal processing, sound recognition, and machine learning. APPOINTMENT TERMS This is a full-time, 12-month position funded through the Misophonia Research Fund on a yearly basis. Salaries follow the post-doctoral scale and are based on experience. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at ************************** Staff Positions, Search #499299 to upload a single PDF file containing: * a resume (including past research experience and published work), * a one-page statement of prior research experience, * a one-page statement of future research interests and objectives, and * the names and contact information of at least two individuals who can provide reference letters. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.

The Yale Center for Natural Carbon Capture (YCNCC) is accepting applications for its Postdoctoral Fellowship Program. The YCNCC was established in 2021 to advance fundamental and applied science on enhancing natural Earth systems to create safe, effective, and scalable methods of reducing greenhouse gas concentrations in the atmosphere. The YCNCC mission strongly emphasizes meaningful ecological and social co-benefits, and the Center's efforts span departments and schools at Yale, convening faculty, research scientists, postdoctoral researchers, graduate students, and staff to work collaboratively on natural solutions for climate mitigation. We welcome applicants to the Postdoctoral Fellowship Program with research interests across the Center's three areas of focus: Ecosystem Capture, Geological & Ocean Carbon Capture, and Industrial Carbon Utilization. Candidates should identify and contact faculty with the relevant expertise to discuss their proposed project and ensure the faculty member is willing and able to host them. In addition to YCNCC's Scientific Leadership Team and Faculty Affiliates, faculty hosts can be from any school/department at Yale, including the School of the Environment, the School of Engineering and Applied Science, and any relevant department within the Faculty of Arts Sciences. Applications lacking a letter of support from a potential Yale faculty host will not be considered. Candidates selected for the program will be contacted by the end of February 2026 and are expected to accept or decline as soon as possible, but no later than March 31st, 2026. Successful candidates are expected to begin their program at Yale between July 1 and December 31, 2026. Successful candidates will be appointed as postdoctoral associates for an initial period of one year and may be extended for a second year upon satisfactory performance. Postdoctoral associated will be provided a stipend based on the current Yale postdoctoral salary scale (currently $68,500/year), and base research funds ($6,000/year), plus health care benefits and limited expenses for relocation. A PhD or equivalent degree in a relevant discipline and less than a total of four years of prior postdoctoral experience.

The Department of Marine Sciences at the University of Connecticut invites applications for a Postdoctoral Research Associate to join an interdisciplinary project at the forefront of climate-fishery research. The Postdoctoral Research Associate will contribute to an interdisciplinary project focused on enhancing the adaptive capacity of the Atlantic Sea Scallop (Placopecten magellanicus) fishery under changing ocean conditions. The Atlantic Sea Scallop fishery is one of the most economically valuable in the United States, with annual landings exceeding $500 million. However, increasing vulnerability to ocean acidification (OA), ocean warming (OW), and extreme temperature events poses significant challenges to scallop growth, reproduction, and long-term fishery sustainability. This project aims to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies that enhance both ecological and fishing community resilience. The successful candidate will lead efforts to couple a regional MOM6 Northwest Atlantic seasonal ocean forecast with an existing Dynamic Energy Budget (DEB) model for sea scallops to produce seasonal forecasts of scallop growth and mortality. The postdoctoral researcher will also evaluate the predictive skill of oceanographic variables (e.g., temperature, oxygen, and pCO₂) relevant to scallop growth and assess their potential for informing fishery management decisions. This position will involve close collaboration with oceanographers, ecosystem modelers, social scientists, and fisheries stakeholders. The position offers significant opportunities to contribute to ecological forecasting, advance the integration of environmental models into fishery management, and engage directly with stakeholders and policymakers, including the New England Fishery Management Council (NEFMC). This position provides the opportunity to conduct high-impact research at the interface of oceanography and fisheries management, with direct pathways to inform policy. The postdoc will gain experience in state-of-the-art ocean forecasting, ecological modeling, and co-production of knowledge with stakeholders-skills that are increasingly sought after in academia, government, and applied research careers. The project emphasizes strong mentorship, interdisciplinary collaboration, and professional development, ensuring that the candidate will be well-positioned for a successful independent career. The University of Connecticut was established in 1881, is the state university of Connecticut, educating more than 32,000 students and is one of the nation's top 25 public universities in the nation. As a Land and Sea Grant University, UConn has deep roots in the state's economy. The University spans over 4000 acres in Connecticut, including 4 regional campuses. The Avery Point regional campus was established in 1967 and is just a short drive from both New York City and Boston. The Department of Marine Sciences is located on the Avery Point Campus in Groton, Connecticut right on the waters of Long Island Sound. Our program offers the intimacy and support of a small campus, coupled with the resources of a top-notch public university and internationally renowned scientists. Visit the department website (********************************** for more information. DUTIES AND RESPONSIBILITIES * Develop and implement coupled MOM6-DEB forecasts of scallop growth and mortality in rotational management areas. * Evaluate the skill of oceanographic forecasts for environmental variables influencing scallop physiology. * Collaborate with a multidisciplinary team of oceanographers, ecosystem modelers, social scientists, and industry partners. * Contribute to workshops, stakeholder engagement, and communication of results to management agencies and fishing communities. * Prepare peer-reviewed publications, conference presentations, and project reports. MINIMUM QUALIFICATIONS * Ph.D. in oceanography, marine science, fisheries science, climate science, or a closely related discipline by the start of appointment. * Demonstrated experience with numerical modeling, ocean forecasting, or biophysical coupling. * Experience with ocean biogeochemical cycling, including carbon, oxygen, and nutrient cycles, through courses or research experience. * Experience in scientific programming (e.g., Python, R, MATLAB, or Fortran). * Experience communicating clearly and effectively in written and oral formats. * Demonstrated experience with or ability to pursue research independently. PREFERRED QUALIFICATIONS * Experience with Earth system or regional ocean models (e.g., MOM6, ROMS) and/or Dynamic Energy Budget modeling. * Demonstrated experience working in interdisciplinary and collaborative research settings. * Experience with engaged research. * Experience with fisheries science, ecological forecasting, or decision-support tool development. * Publications related to the minimum qualifications (e.g., oceanography, marine sciences, fisheries, science, climate science, etc.). * Research experience with forecasts or projections. APPOINTMENT TERMS This is a full-time, end-dated position with the possibility of renewal subject to performance and funding. This project includes postdoctoral salary support for up to three years, pending satisfactory progress and performance, and availability of funding. Start date is flexible, with the preferred appointment start date in early 2026, but employees requesting a later start date will be considered. The University offers a competitive salary and outstanding benefits, including employee and dependent tuition waivers at UConn, and access to employer-sponsored retirement plans with matching funds. Salary will be commensurate with experience and is expected to be based on the National Research Service Award (NRSA) Post Doctoral Fellow stipend scale, which is available on the UConn website. Anticipated initial annual salary for a person with no prior postdoctoral experience is $62,232. Postdoctoral Research Associates employed at UConn are represented by the UConn Graduate Employee and Postdoc Union (GEU-UAW Local 6950). Other rights and terms and conditions of the appointment are contained in the collective bargaining agreement between the University of Connecticut and the GEU-UAW Local 6950. TERMS AND CONDITIONS OF EMPLOYMENT Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check. TO APPLY Please apply online at UConn Jobs, *********************** Staff Positions, Search #499267, and upload a single PDF document that includes a one-page statement of research interests and relevant experience, a current CV, and contact information for three references. Information about the Coastal Biogeochemical Dynamics Lab here: ********************************************************* Review of applications will begin November 15, 2025, and continue until the position is filled. All employees are subject to adherence to the State Code of Ethics which may be found at ****************************************************** All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community. The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee's unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The University of Connecticut is an AA/EEO Employer.