Postdoctoral Openings

Position Description

The Stroud lab at the UCSF Mission Bay campus seeks a highly motivated Postdoctoral fellow to join our efforts to understand the molecular mechanisms of essential transporters and cell wall synthesis in Mycobacteria at the atomic-level structure, with the vision of enabling treatments for #tuberculosis. Biochemistry and #CryoEM/CryoET experience preferred. Relevant recent publications include PMC10312659 and PMC11961569. Our lab is a leader in understanding proteins, membrane transporters, and channels function at the molecular level, and the design of inhibitory compounds that are the basis of therapeutics that block or augment protein function. The on-site electron microscopy capability is outstanding with two Krios microscopes, each with G2 and G3, a new Krios/Selectris/Falcon, an Arctica and Glacios with K3 cameras, an Aquilos 2 cryoFIB-SEM and a Hydra cryoPFIB-SEM, both equipped with iFLMs, and a Talos12. 

Position Qualifications 

Candidates should possess a PhD degree in structural biology and have strong Laboratory Skills, including experimental design, purification of proteins and membrane proteins, protocol optimization, and a track record of scientific publications or conference presentations.

Research Environment

Our lab has long been a leader in understanding how membrane transporters and channels function at the molecular level and in designing inhibitory compounds that underlie therapeutics that block or augment protein function. Current efforts seek to develop cures for tuberculosis by understanding. UCSF at Mission Bay provides a spectacular environment for cryoEM and cryoET structural biology and structural cell biology via the Stroud, Agard, Cheng, Fraiser, Jura, Minor, Southworth, and Verba structure groups and their numerous collaborators. Our expertly managed multi-user core facility houses two Krios microscopes, each with G2 and G3; a new Krios/Selectris/Falcon awaiting installation; an Arctica and a Glacios with K3 cameras; an Aquilos 2 cryoFIB-SEM and a Hydra cryoPFIB-SEM, both equipped with iFLMs; and a Talos12. 

How to Apply

Please send a cover letter, resume or CV, and the contact information for three references as a single file to: Robert Stroud [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.19.26}

Posting Description

A full-time Postdoctoral Scholar position is available for a highly motivated scientist interested in infection-associated chronic conditions (IACCs), including Post-Acute Sequelae of SARS-CoV-2 infection (PASC/Long COVID), HIV, and Post-Acute Sequelae of Ebola virus disease. The postdoctoral scholar will contribute to multidisciplinary research to understand the biological and clinical mechanisms underlying persistent symptoms and long-term health consequences following acute infections. The scholar will have opportunities to design and lead sub-studies, develop statistical analysis plans, conduct and interpret rigorous statistical analyses, and contribute to manuscripts and scientific presentations. Projects will leverage rich clinical, epidemiologic, and laboratory data to develop and apply innovative approaches to the design and analysis of IACC research. The overarching goal is to generate new insights into underlying disease pathogenesis, identify factors associated with disease development and persistence, and inform the development of strategies for the treatment and ultimately cure of infection-associated chronic conditions. The position is particularly well-suited for a scientist interested in working at the intersection of infectious diseases, epidemiology, biostatistics, and translational research, with opportunities to develop independent research questions and build a research program focused on IACCs. 

Position Qualifications

• PhD in a relevant field 
• Possess strong communication skills and a desire to engage in research in a diverse team of clinicians and scientists. 
• Knowledge of statistical software packages such as R or other statistical software and programming languages 
• Experience in statistical analysis approaches relevant to clinical or translational studies. 
• Demonstrated ability to independently drive research projects 
• First-author publication record preferred 
• Prior experience with machine learning or AI approaches is welcome but not required 

Research Environment

The postdoctoral scholar will be based in the Division of HIV, Infectious Diseases, and Global Medicine at UCSF. The Division is internationally recognized for excellence in clinical care, research, and education, with a longstanding commitment to advancing the understanding, prevention, and treatment of infectious diseases. The Division is based at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG), which has a distinguished history of leadership in HIV/AIDS care and research. The postdoctoral scholar will join a highly collaborative and multidisciplinary research environment that brings together clinicians, virologists, immunologists, pharmacologists, pharmacists, epidemiologists, biostatisticians, and other investigators. Working closely with Drs. Peluso, Kelly, and their research teams, the scholar will have opportunities to develop and lead clinical and translational research studies focused on infection-associated chronic conditions. The scholar will be supported in developing an independent scientific portfolio, including opportunities to lead analyses, develop manuscripts, publish findings in peer-reviewed journals, and present research at national and international scientific meetings. They will also be encouraged to take advantage of the broad range of seminars, methodological resources, collaborations, and professional development opportunities available through the Division, Department, and UCSF. Drs. Peluso and Kelly will serve as the primary mentors, providing structured scientific and career mentorship. The mentoring environment will emphasize developing research independence, methodological expertise, scientific communication, collaboration, and the skills necessary to advance the postdoctoral scholar's academic, professional, and long-term career goals. 

How to Apply

Please send CV, a cover letter (1–2 pages) describing your most important research contribution and how it might connect to our projects, and the names of three references (including recent mentors/supervisors) to: [email protected] and [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.30.26}

Posting Description

We seek a postdoctoral fellow to join a dynamic, interdisciplinary team at the intersection of relationship science, behavioral health, and artificial intelligence. Our lab develops and evaluates dyadic, couple-based approaches that harness relationships to improve health across a range of interconnected challenges, including alcohol use, HIV prevention and treatment, cardiometabolic health, and mental health, in both the U.S. and sub-Saharan Africa. As this program grows, we are incorporating human-centered Artificial Intelligence to augment the power of close relationships and human-delivered behavioral interventions. Rather than replacing human connection or clinical expertise, we envision AI as a companion or copilot within a human-in-the-loop model—helping individuals and couples translate intervention skills into their daily lives, supporting behavior change between sessions, personalizing intervention content, and extending the reach of trained providers. The fellow will have the opportunity to help shape this emerging research agenda and develop innovative approaches that bring together relationship science, behavioral intervention science, and responsible AI to address complex health problems.

This fellowship will be directed by Dr. Amy Conroy, an Associate Professor at UCSF in the Division of Prevention Sciences (DPS) and at the Center for AIDS Prevention Studies. Dr. Conroy is also the co-chair of the AI Behavioral Science Working Group within DPS. Dr. Conroy is the Principal Investigator of multiple ongoing research studies working with families and couples in the U.S. and sub-Saharan Africa. Studies include:

• The CHART study is a new study to develop and evaluate a couple's motivational interviewing intervention that uses biological/biosensor-based feedback on drinking levels to improve PREP outcomes among U.S. couples. A newly funded K24 award will develop an Artificial Intelligence co-pilot as part of CHART to help couples achieve alcohol-reduction goals using breathalyzer-based feedback. This study is a national U.S. study leveraging the MACS/WIHS combined clinical cohort (MWCCS) infrastructure and relationship research infrastructure at CUNY, led by Dr. Tyrel Starks. This study is funded as part of the CALIBER HIV/Alcohol center P60 grant at UCSF. 
• The Mlambe study is a randomized controlled trial of an economic and relationship-strengthening intervention to address unhealthy alcohol use and HIV outcomes in couples. This study, which takes place in Zomba, Malawi, is funded by an R01 grant from the National Institute of Alcohol Abuse and Alcoholism (NIAAA).
• The Mphatso study is a randomized controlled trial of couples Problem Management Plus (a WHO intervention) for pregnant women living with HIV and their male partners. This study takes place in Zomba, Malawi, and is funded by an R34 grant from the National Institute of Mental Health (NIMH). 
• The Healthy Hearts study is a mixed-methods observational cohort study with couples affected by HIV and cardiometabolic disorders (hypertension or diabetes) in Malawi to evaluate a model of dyadic multimorbidity management. This study is funded by an R01 grant from the National Heart, Lung, and Blood Institute (NHLBI).  

Candidates should have a keen interest in solving challenging problems by leveraging close interpersonal relationships and Artificial Intelligence to deliver human-centered interventions. We encourage applicants with a background in behavioral science, public health, health communication, social and health psychology, clinical psychology, epidemiology, demography, and international/global health. Candidates should also have a strong interest in preparing for an independent research career in academic medicine or public health.

The fellow will work independently but in close collaboration with Dr. Conroy, other research scientists, lab team members, and field staff in sub-Saharan Africa. There will also be opportunities to collaborate with other researchers at the UCSF CALIBER center for HIV and alcohol research, and with study co-investigators at UCSF, UC Davis, Washington University in St. Louis, Emory University, University of Michigan, City University of New York Hunter College, as well as institutions in Malawi and South Africa. The postdoctoral fellow will have access to data and resources for the above projects and related studies, and will assist with or lead the preparation and analysis of manuscripts as the lead author or co-author.  

Job Responsibilities

• Contributes to the generation of knowledge on Artificial Intelligence and the development of AI-enabled tools to support research activities and the delivery of behavioral interventions
• Perform qualitative and quantitative analyses of cross-sectional, dyadic, and longitudinal data
• Compiles, summarizes, and interprets data
• Participate in publications and presentations as the lead author or co-author.
• Prepare intramural and extramural grant proposals related to the fellow’s career and research goals to ultimately become an independently-funded research scientist
• Assist with the study implementation of research protocols and training of field staff at US and African sites
• Assist the team in conceptualizing and developing new grant applications that build on currently funded work
• Attend weekly post-doctoral seminars provided through the Traineeships in AIDS Prevention Studies (TAPS) program at CAPS/UCSF and regular team meetings
• Potential travel to field sites in Africa to foster connections with the research team, oversee progress, implementation planning, training of staff, and dissemination of findings

The initial appointment is for two years, with the possibility of extension depending on funding availability and progress towards the fellow’s independent funding. The fellow will be based at UCSF's Mission Bay campus and supervised by Dr. Conroy. Remote work arrangements can be negotiated.

Posting Qualifications

• Applicants must have obtained or will obtain their PhD/MD or related degree by the start date. Interviews will occur on a rolling basis. 
• Strong publication record and evidence of scientific writing skills
• Strong skills in statistical programming and analysis in Stata (preferred), SAS, SPSS, or R, including the ability to generate descriptive statistics, cross-sectional regression analysis using linear or logistic modeling. 
• Exposure to qualitative methods and analysis techniques
• Demonstrated cultural competence and community engagement skills
• 1-2 years of professional work experience (post-master's degree)
• Ability to work independently and solve problems independently
• Must be an American citizen, a non-citizen national of the U.S. (e.g., from American Samoa), or have been lawfully admitted to the U.S. for permanent residence and have an Alien Registration Receipt Card (I-151 or I-551).

Additional desired qualifications include experience with multilevel data analysis (e.g., longitudinal and dyadic data) skills, mediation and moderation analysis, and advanced machine learning and artificial intelligence models.

Research Environment / Training Context
The fellow will work independently but in close collaboration with Dr. Conroy, other research scientists, lab team members, and field staff in sub-Saharan Africa. There will also be opportunities to collaborate with other researchers at the UCSF CALIBER center for HIV and alcohol research, and with study co-investigators at UCSF, UC Davis, Washington University in St. Louis, Emory University, University of Michigan, City University of New York Hunter College, as well as institutions in Malawi and South Africa. The postdoctoral fellow will have access to data and resources for the above projects and related studies, and will assist with or lead the preparation and analysis of manuscripts as the lead author or co-author. 

How to Apply

Please submit the following materials to Dr. Amy Conroy at [email protected]

• Curriculum Vitae 
• A detailed Cover Letter, including a summary of relevant experience, research interests, and a statement of long-term career goals 
• Two writing samples
• Three letters of reference (upon request)

Interviews will take place in the Fall 2026 with an anticipated start date in late 2026/early 2027. The start date can be flexible. 

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 8.30.26}

Posting Description

Program Focus. This NIMH-funded postdoctoral program external site (opens in a new window) trains researchers to link basic psychological theories and research to preventing and ameliorating disease. There are two areas, and cross-cutting both areas is a consideration of racial/ethnic disparities in mental and physical illness and the mechanisms by which they occur. The two areas are: (1) Biobehavioral Mechanisms. (2) Innovative Interventions. There is an emphasis on life span approaches, specifically developmental processes, as a critical period. We emphasize common pathways to multiple disease outcomes, especially those spanning mental and physical illness. 

Posting Qualifications

The program is designed primarily for PhD and/or MD psychologists or psychiatrists who have a strong foundation in theory and methods and seek an opportunity to deepen and/or expand their research skills. In order to qualify for this federally funded grant, an applicant must be a U.S. citizen, a non-citizen national, or a foreign national possessing a visa permitting permanent residence in the U.S.; having a temporary or student visa is not acceptable under this grant. However, we would be happy to consider applications of non-citizens if applicants are able to find funding individually through their own government or other sources.

Research Environment / Training Context

Fellows will be appointed for two years. In some instances, an optional third year may be possible. It is expected that about one-third of the fellow's time will be spent in formal seminars. All fellows take a core Biology and Affective Science and a Research Process Seminar in both years of the fellowship and may take other courses and seminars. The remaining two-thirds of the fellows’ time will be spent conducting research. Fellows will participate in their faculty mentor's research laboratory and will develop their own research study or work with a faculty mentor on secondary data analyses. 

Faculty: There are 19 faculty members in our program, including psychologists, psychiatrists, internists, pediatricians, sociologists, and biostatisticians. Fellows will be expected to work with a primary mentor from among the faculty.

How to Apply

Applicants should submit a current curriculum vitae, cover letter, and research statement describing (1) your educational and research background, (2) areas of interest, and (3) what you would like to accomplish in your postdoctoral training. Applicants should also list 3 faculty members willing to write letters of recommendation. (Finalists will be asked to have the letters sent as PDFs to [email protected].)

Submit your research statement, CV, and cover letter with contacts of three research supervisors/mentors here: UCSF Health Psychology 

Review process: We will choose finalists by the end of April, and conduct phone/Zoom interviews to inform final decisions and to determine appropriate faculty mentors. Decisions are made based on the applicant's strength, fit with the program, and the balance of interests among the fellows. Fellows must have completed their PhD or MD and have supporting documentation by the time of appointment, which must be in the Fall of 2026, but can be later than September if needed.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 9.1.26}

Posting Description

Seeking applicants for a 2-year postdoctoral fellowship in San Francisco, California. If you are interested in a high-impact project bridging academic theory and AI engineering to directly impact patient care, this position offers world-class mentorship from faculty members at UCSF, with joint mentorship from faculty in the UC Berkeley Electrical Engineering and Computer Science; abundant clinical datasets; support from a software engineer; and participation in a multidisciplinary research community in vibrant San Francisco. 

What You Will Do: 

• Design and optimize 3D transformer architectures for volumetric medical image segmentation and classification (MRI, CT, and multi-modal scans)
• Overcome computational bottlenecks of high-resolution 3D data via efficient attention mechanisms and hybrid CNN-transformer designs
• Translate cutting-edge machine learning theory into robust tools for clinical diagnostics and treatment planning
• Collaborate closely with computer scientists, radiologists, and clinical experts across the San Francisco Bay Area

Posting Qualifications

• A Ph.D. in Computer Science, Electrical Engineering, Bioengineering, Applied Mathematics, or a closely related quantitative field 
• A strong publication record in computer vision, machine learning, or medical imaging venues (e.g., CVPR, ICCV, MICCAI, NeurIPS) 
• Proficiency in PyTorch, deep learning hardware acceleration, and 3D tensor manipulation 
• Interest in interdisciplinary research bridging advanced artificial intelligence and medicine

How to Apply

Please email CV, cover letter describing research background and interests, and contact information for 2-3 references to Pratik Mukherjee, MD, PhD [email protected], and Esther Yuh, MD, PhD [email protected] (UCSF Radiology) and Jitendra Malik, PhD (UC Berkeley EECS).

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 9.2.26}

Posting Description

We are seeking a highly motivated postdoctoral fellow at the University of California, San Francisco (UCSF) to join a research group led by Dr. Rachel Nosheny. The applicant will be involved in clinical aging and dementia research, utilizing data from the Brain Health Registry (BrainHealthRegistry.org) and the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The postdoctoral fellow will conduct clinical neuroscience research, with an emphasis on Alzheimer's disease, cognitive aging, and cognitive decline. Areas of particular interest are (1) Remote, digital assessment of cognition and everyday functioning; (2) Characterization of early clinical stages of AD, including subjective cognitive decline; and (3) Improving research participation of older adults in dementia research. The postdoctoral fellow will have the opportunity to be involved in many ongoing projects within the Brain Health Registry and ADNI. They will plan and execute data analyses, prepare manuscripts and abstracts, assist with grant writing, and present work at national and international meetings. 

Job Responsibilities: 

• Quantitative analysis of data, including in-clinic and online self- and study partner-report questionnaires, neuropsychological tests, and biomarker data from longitudinal, observational studies 
• Work with Principal Investigator and Co-investigators to generate hypotheses, plan analyses, and interpret data 
• Develop innovative ways for assessment of cognitive aging 
• Seek out new funding opportunities and help to write grants and proposals 
• Write manuscripts and abstracts

Posting Qualifications

Required Qualifications: 

• Doctorate degree or its equivalent in the field of neurology, neuroscience, psychology, psychiatry, biostatistics, or a related field 
• Research experience, preferably in clinical research
• Data analysis experience 
• Biostatistics experience 
• Demonstrated success in independent research, including a track record of published peer-reviewed manuscripts 
• Ability to work collaboratively with other research group members and outside collaborators 
• Two-year commitment, with opportunity for extension 

Other Preferred Qualifications: 

• Interest/experience in dementia and aging clinical research 
• Experience with statistical computing and visualization software or programs 
• Experience writing grants and other proposals

Research Environment / Training Context

The UCSF Brain Health Registry (BHR), led by Rachel Nosheny, PhD, is an internet-based platform for recruiting, assessing, and longitudinally monitoring participants in neuroscience studies, with over 100,000 registered participants. The BHR enables large-scale remote cognitive assessment and clinical trial recruitment for Alzheimer's disease, Parkinson's, and other brain disorders. This environment provides the postdoctoral fellow with direct access to world-class clinical collaborators, deeply phenotyped patient cohorts, large-scale participant registries, and cutting-edge computational infrastructure. The fellow will benefit from close mentoring from Dr. Nosheny, along with senior collaborators across neurology, psychiatry, and radiology, with opportunities to present at international conferences, lead publications, and develop an independent research profile.

How to Apply

Interested candidates, please send your CV and two references to Rachel Nosheny, PhD. [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

_{Posted: 9.9.26}

Posting Description

The University of California, San Francisco, is accepting applications to its NIDA-funded two-year postdoctoral research training program for trainee positions starting either in the summer or early fall of 2027. Our program is one of the few that trains scientists in treatment and services research. Scholars work with a preceptor to design and implement studies on the treatment of substance use disorders (SUD), including nicotine, cannabis, opioids, stimulants, alcohol, and other substances. Scholars also select a specific area of focus for independent research. Current research interests of faculty include trials of efficacy and effectiveness of psychosocial and pharmacologic SUD treatment, including: 

1. Integration of SUD research in health care systems 
2. Technology-based SUD screening and intervention research 
3. Innovative SUD/HIV treatment, prevention, and services research 
4. Emerging areas, including innovative therapeutics and delivery models
    

Posting Qualifications

Applicants must have completed their doctoral degree and be a U.S. citizen or have legal permanent resident (green card) status at the time of appointment.

Research Environment / Training Context

A variety of university-affiliated and community substance use treatment programs are available as research sites. These include inpatient and outpatient settings. Our training program encourages close research involvement with a preceptor and involvement in selected classes, seminars, and grant preparation.

How to Apply

Submit a cover letter, curriculum vitae, statement of research interests, representative work, and 2 letters of reference to: [email protected]. Letters of reference should be sent directly from the recommenders to Dr. Satre.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 9.9.26}

Posting Description

The Policy Advisory Healthforce program was established in 2023, and seeks a post-doctoral scholar to join our team. Our work is guided by values of social justice to move from structures of exclusion and disparity to a future state marked by structures of inclusion and equity. Healthforce Center's three decades in workforce and health equity issues, research expertise, community engagement, and commitment to equity uniquely position us to perform this work. This opportunity is to join a vibrant health workforce research community with a long-standing focus on health workforce research and policy in California that is well-documented with examples that span the entire health workforce. In close collaboration with communities across California, the scholar will contribute to research projects that advance a health workforce policy agenda that prioritizes system changes to generate better economic opportunity, and, ultimately, better health for communities of color, statewide public health, and individual health equity. Such research to advance these aspects of the healthcare workforce may include: • Diversity: backgrounds, life experiences, language skills, and identities • Capacity: skills development, maximizing scope, and reduced supervision • Flexibility: overlapping scopes and flexing as settings and teams need • Policy: regulatory and institutional frameworks for enhancing the health workforce Affiliation: The post-doctoral scholars training and appointment will be based at the Institute for Health Policy Studies which has 50 years of providing health policy research. The post-doctoral scholar will work on projects primarily at Healthforce Center with a vibrant group of faculty and staff doing health workforce studies across many domains. These efforts encompass short and long-term qualitative and quantitative studies. 

Site: San Francisco Bay Area (preferred) or remote (negotiated); on-site presence is required for some program work approximately 5-7 times/year. 

Effort: 100% Full-time 

Start Date: September 202 

Duration: Two years with a potential for extension

Posting Qualifications

• Applicants must have a PhD in public health, public policy, social science, epidemiology, health services research, or a clinical doctorate 
• Applicants with expertise in health equity and the healthcare workforce will be prioritized.

Research Environment / Training Context

The postdoctoral scholar will be supported by one or more extramurally-funded grants and contracts. The principal project(s) will be the Policy at Healthforce that is funded by The California Endowment. This new area of work focuses on addressing local health workforce needs through equitable career pathways. Current research projects include a) understanding the health workforce data landscape in California, 2) the Impact of AI on the health care workforce, 3) summaries of current hot topics in health workforce, 4) development of a conceptual framework to assess structural racism and equity in health workforce policy making, among others. Specific research and implementation projects will be developed collaboratively. You will have numerous other potential projects in which to become involved around other health workforce-related topics. We will also provide opportunities for you to meet and collaborate with other faculty at IHPS and the Healthforce Center at UCSF. It is our intention that you have opportunities to be first author for journal articles, and that you have approximately 25-30% time for your own research agenda. You will also be invited to participate in the many post-doctoral professional development activities of IHPS and UCSF. 

The Faculty Mentor’s information is as follows: 

• Elizabeth (Beth) Mertz, PhD, MA
• [email protected] 
• 490 Illinois Street, 11th floor, San Francisco, CA 94158 
• Healthforce Center

How to Apply

Send a cover letter, CV, and list of 2 referees to Beth Mertz, [email protected]. No applications will be accepted after May 31, 2027. All offers are contingent upon, among other things, evidence of a doctoral degree and documentation of employment eligibility in compliance with the Immigration Reform and Control Act of 1986.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 9.30.26}

Posting Description

Neuroscape at the University of California, San Francisco (UCSF), in collaboration with Samsung, is seeking a highly motivated postdoctoral scholar to join a 2-year research program focused on using wearable technologies and multimodal data to understand cognition, behavior, and health. The postdoctoral scholar will work approximately half-time with the Neuroscape team at UCSF in San Francisco and half-time with the Samsung research team in Mountain View. The fellow will play a central role in the TAHDA study, working with longitudinal wearable data collected using Samsung technologies together with cognitive, behavioral, and multimodal data collected through Neuroscape. We are particularly interested in candidates with strong quantitative backgrounds in machine learning and physiological signal processing, ideally including direct experience working with photoplethysmography (PPG) and wearable sensor data. 

Responsibilities will include: 

• Processing and analyzing multimodal wearable sensor data, with an emphasis on PPG-derived physiological signals and other continuously collected wearable measures.
• Developing and applying machine-learning and statistical approaches to characterize relationships among wearable-derived measures, cognition, behavior, and health.
• Developing robust signal-processing and data-quality pipelines for noisy, real-world physiological data.
• Integrating longitudinal wearable data with cognitive, behavioral, and other multimodal data collected through Neuroscape.
• Developing reproducible computational workflows for large and complex datasets
• Evaluating and validating wearable-derived measures and candidate digital biomarkers.
• Working collaboratively with neuroscientists, data scientists, engineers, clinicians, and research staff at both UCSF Neuroscape and Samsung.
• Contributing to study design, analytic strategy, data interpretation, and development of new research questions.
• Leading and contributing to scientific dissemination, including conference presentations and peer-reviewed manuscripts.

This position provides substantial opportunity to shape the scientific direction of the research and develop an independent research trajectory at the intersection of wearable sensing, machine learning, digital health, and cognitive neuroscience. 

Posting Qualifications

Minimum qualifications: 

• PhD in neuroscience, biomedical engineering, bioengineering, computer science, data science, electrical engineering, biomedical informatics, computational biology, psychology/cognitive science, or a related quantitative field 
• Strong computational and quantitative skills 
• Demonstrated experience analyzing complex human-subjects, physiological, behavioral, or other high-dimensional datasets 
• Strong programming skills in Python, R, MATLAB, or comparable scientific computing environments 
• Experience with statistical analysis and quantitative modeling 
• Demonstrated ability to conduct rigorous and reproducible data analysis 
• Record of peer-reviewed scientific publications 
• Excellent communication, organizational, and problem-solving skills 
• Ability to work independently and effectively within multidisciplinary collaborative teams 

Preferred qualifications: 

• Hands-on experience processing and analyzing PPG data 
• Experience with physiological signal processing, including artifact detection, signal-quality assessment, filtering, feature extraction, and time-series analysis 
• Experience developing or applying machine-learning methods to wearable, physiological, behavioral, or health data 
• Experience with wearable devices, digital health technologies, or remote sensing 
• Experience deriving or validating physiological measures from PPG, such as heart rate, heart-rate variability, or related cardiovascular/autonomic measures 
• Experience working with longitudinal, high-frequency, or intensive repeated-measures datasets 
• Experience with multimodal data integration 
• Experience developing scalable and reproducible data-processing pipelines 
• Familiarity with sleep, physical activity, cardiovascular physiology, autonomic physiology, or digital phenotyping 
• Interest in cognition and cognitive neuroscience and in linking real-world physiological measures to laboratory-based cognitive and behavioral assessments 

Direct experience with PPG and wearable data is highly desirable, but candidates with exceptional backgrounds in machine learning and physiological signal processing who are interested in applying these skills to wearable data are also encouraged to apply.

Research Environment / Training Context

Neuroscape is a translational neuroscience center within the Department of Neurology at UCSF. We engage in technology creation and scientific research to better assess and optimize brain function in healthy and clinical populations. Neuroscape research spans attention, memory, perception, neuroplasticity, brain aging, digital health, multimodal biosensing, mobile and remote assessment, neuroimaging, and computational approaches to understanding human cognition and behavior. Our work is supported by technological innovations in multimodal biosensing, mobile technology and remote trial platforms, machine learning, and signal processing. This position is part of a collaboration between UCSF Neuroscape and Samsung, providing the postdoctoral scholar with the opportunity to work directly within both academic and industry research environments. The fellow will interact closely with investigators, data scientists, engineers, and technical teams at both organizations and gain experience translating scientific questions across neuroscience, wearable technology, and digital health. The postdoctoral scholar will receive mentorship from investigators at UCSF Neuroscape and Samsung and will be encouraged to develop an independent scientific profile through publications, conference presentations, collaborative projects, and development of new analytical approaches and research questions. The position will be based approximately 50% at Neuroscape in San Francisco and 50% at Samsung in Mountain View.

How to Apply

Please submit a cover letter describing your research interests, relevant quantitative and computational experience, and interest in the UCSF Neuroscape-Samsung collaboration, along with a curriculum vitae. Applicants are especially encouraged to highlight prior experience with machine learning, physiological signal processing, wearable sensor data, and/or PPG data. 

Please send application materials to: Joaquin A. Anguera, PhD [email protected] 

Names and contact information for references will be requested from selected applicants following the initial application review.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 9.30.26}

Posting Description

About the Research The University of California, San Francisco (UCSF) is a leading academic health sciences institution with an internationally recognized research community in infectious diseases, immunology, microbiology, and biomedical science. Our laboratory is located in the UCSF Department of Medicine at the Parnassus Heights campus in San Francisco. We are seeking a highly motivated Postdoctoral Scholar to investigate how Mycobacterium tuberculosis (Mtb) subverts innate immune signaling to promote its survival within the host. Our laboratory has made an unexpected discovery that selective autophagy receptors can exert opposing effects on Mtb growth, challenging a simple model in which these host-defense pathways function uniformly to restrict infection. These findings raise fundamental questions about how individual components of the selective autophagy machinery regulate innate immunity during tuberculosis and how Mtb exploits these pathways to its advantage. The postdoctoral scholar will build on these discoveries to define the molecular and cellular mechanisms underlying these divergent host responses. The project will combine CRISPR-based host genetics, macrophage infection models, engineered mouse lines, and infection with virulent Mtb to identify and mechanistically dissect host pathways that determine the outcome of infection. This work is supported by our recent studies of selective autophagy receptors and Mtb infection (DOI: 10.1371/journal.ppat.1012829; DOI: 10.64898/2026.08.23.746595). 

Position Description:

The Postdoctoral Scholar will lead an independent research project investigating the mechanisms by which Mtb manipulates innate immune pathways and the consequences of these interactions for bacterial growth and host defense. The postdoc will have substantial intellectual ownership of the project and will be encouraged to develop new hypotheses and research directions arising from their findings. The work will integrate genetic, molecular, cellular, microbiological, and in vivo approaches. 

Responsibilities will include: 

• Using CRISPR-based host genetics to identify and mechanistically characterize host factors that influence Mtb infection. 
• Investigating how selective autophagy and innate immune signaling pathways regulate intracellular Mtb growth. 
• Using primary and cultured macrophage infection models to dissect mechanisms of host-pathogen interaction. 
• Developing and studying engineered mouse lines to test mechanisms of host defense in vivo. 
• Conducting experiments with virulent Mtb in a BSL-3 laboratory following appropriate training. 
• Designing, executing, and troubleshooting experiments and quantitatively analyzing experimental data.
• Collaborating with investigators within the laboratory and across the broader UCSF research community. 
• Preparing manuscripts and presenting research findings at laboratory meetings and national and international scientific conferences. 
• Contributing to the mentorship and scientific development of students and junior researchers.

Posting Qualifications

Required Qualifications:

• Ph.D., M.D./Ph.D., or equivalent doctoral degree in microbiology, immunology, molecular biology, cell biology, biochemistry, or related discipline. 
• Strong training in experimental biology, including experience designing, conducting, analyzing, and troubleshooting experiments. 
• Evidence of scientific productivity and the ability to conduct rigorous research. 
• Strong written and verbal communication skills. 
• Ability to work both independently and collaboratively in a multidisciplinary research environment. 
• Strong interest in host-pathogen interactions, innate immunity, or tuberculosis biology. 

Preferred Qualifications:

Experience in one or more of the following areas is particularly desirable: 

• Innate immune signaling or host-pathogen interactions. 
• Mammalian cell culture, particularly macrophage biology. 
• CRISPR/Cas-based genetic manipulation or other functional genetic approaches. 
• Mouse genetics or mouse models of infection and immunity. 
• Molecular and cellular biology. 
• Microbiology or bacterial pathogenesis.

Research Environment / Training Context

The laboratory provides a hands-on approach to mentorship with an emphasis on developing scientific independence. The PI will work closely with the postdoctoral scholar on experimental strategy, interpretation, scientific writing, and development of the research project, particularly during the initial stages of the fellowship. As the project develops, the postdoc will be encouraged to take increasing intellectual ownership, pursue new questions emerging from the work, and develop an independent scientific identity. The postdoc will gain experience in CRISPR-based host genetics, engineered mouse models, macrophage and in vivo infection models, working with virulent Mtb in a BSL-3 facility, and in experimental design, scientific communication, manuscript preparation, and the development of independent research questions. Previous experience with Mtb, tuberculosis models, or BSL-3 research is beneficial but not required. Appropriate training in Mtb biology and BSL-3 procedures will be provided.

How to Apply

Applicants should submit: 

• A curriculum vitae; 
• A brief cover letter describing their previous research, scientific interests, and interest in this position; and 
• Contact information for three references. 

Please send application materials to [email protected]. Applications will be reviewed beginning 10/2/2026 and will continue until the position is filled.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 10.6.26}

Posting Description

The Wang Lab at the University of California, San Francisco (UCSF) is seeking a highly motivated Postdoctoral Scholar to join our multidisciplinary research program investigating the neural circuits underlying movement and developing next-generation neuromodulation therapies for Parkinson’s disease. Our laboratory integrates human systems neuroscience, computational neuroscience, neuroengineering, and clinical neuromodulation to understand the neural mechanisms underlying gait and other motor symptoms in Parkinson’s disease. A major focus of our work is developing closed-loop and adaptive deep brain stimulation (DBS) strategies that use chronically recorded neural signals to deliver personalized, state-dependent therapy. The successful candidate will work with unique human neurophysiological datasets collected from patients implanted with sensing-enabled neurostimulation systems, including intracranial recordings from cortical and subcortical structures obtained during controlled laboratory experiments and naturalistic behavior. Projects will focus on identifying neural circuit dynamics associated with Parkinson’s disease symptoms and translating these discoveries into biomarkers and control strategies for closed-loop neuromodulation. 

Research opportunities and responsibilities:

The postdoctoral scholar will have opportunities to: 

• Analyze large-scale intracranial neurophysiological and behavioral datasets from patients with Parkinson’s disease. 
• Investigate cortical–basal ganglia network dynamics underlying movement, gait, and other clinically relevant behaviors. 
• Develop neural biomarkers and decoding algorithms for adaptive and closed-loop DBS. 
• Apply advanced signal processing, computational modeling, machine learning, and statistical approaches to multimodal neural and behavioral data. 
• Design and conduct experiments involving patients with implanted bidirectional neurostimulation systems. 
• Collaborate closely with neurosurgeons, neurologists, neuroscientists, engineers, data scientists, research coordinators, and trainees. 
• Lead manuscripts and conference presentations and contribute to collaborative publications. 
• Develop independent research directions and pursue fellowship and career-development funding.

Posting Qualifications

Applicants should have a PhD or equivalent doctoral degree in neuroscience, biomedical engineering, electrical engineering, bioengineering, computational neuroscience, computer science, or a closely related discipline. 

We are particularly interested in candidates with strong expertise in one or more of the following areas: 

• Computational neuroscience 
• Neural engineering or neuroengineering 
• Neural signal processing and time-series analysis 
• Electrophysiology, including intracranial EEG/ECoG or local field potentials 
• Brain–computer interfaces or closed-loop neural systems 
• Machine learning 
• Advanced statistical modeling 
• Computational analysis of human behavior or movement 

Strong programming skills, particularly in Python and/or MATLAB, are highly desirable. Because this position involves direct interaction with research participants with Parkinson’s disease, we are looking for someone who combines technical strength with excellent interpersonal skills. The ideal candidate is collaborative, thoughtful, dependable, and comfortable working directly with patients and within a highly multidisciplinary clinical-research environment. Strong communication skills and emotional intelligence are important for success in the position.

Research Environment / Training Context

The Wang Lab is based at UCSF, with close collaborations across neurosurgery, neurology, neuroscience, engineering, and rehabilitation science. Our research program provides access to patients implanted with advanced sensing-enabled DBS systems and opportunities to study human brain activity both in controlled experimental settings and during real-world behavior. The laboratory's broader goal is to understand how distributed brain networks generate movement and how these neural dynamics can be leveraged to create more intelligent, personalized neuromodulation therapies. The postdoctoral scholar will have substantial opportunities to develop scientific independence while working within an active translational research program spanning fundamental human neuroscience, neurotechnology development, and clinical trials.

How to Apply

Interested applicants should submit a CV, a brief statement of research interests and relevant experience, and contact information for 2–3 references. In the research statement, applicants are encouraged to describe their computational or neuroengineering background and how their interests align with human systems neuroscience and closed-loop neuromodulation. The position is available at UCSF in San Francisco, California. Review of applications will continue until the position is filled.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 10.6.26}

Posting Description

We’re recruiting two postdoctoral researchers to join the Stress, Trauma, and Resilience (STAR) Lab at the San Francisco VA and UCSF! Our work spans sleep, PTSD, women’s health, and the biological mechanisms that inform better treatments. We welcome clinicians and nonclinical scientists interested in clinical trials, psychophysiology, sleep EEG, biomarkers, or stress and reproductive aging. The anticipated fellowship is two years, based in San Francisco. U.S. citizenship is required for the VA appointment. 

To discuss research fit, eligibility, and available fellowship pathways, contact Sabra Inslicht, PhD: [email protected] 

Priority review: November 20, 2026. Applications will be considered on a rolling basis until the position is filled. 

Facebook listing: https://www.facebook.com/marketplace/item/

Original announcement and flyer: https://lnkd.in/p/g42_wQmd 

#Postdoc #PostdoctoralFellowship #ClinicalResearch #SleepResearch #WomensHealth

Posting Qualifications

• MD with approved residency; or clinical/counseling psychology PhD with APA-accredited doctoral program and internship; or nonclinical PhD in neuroscience, brain sciences, health psychology, or an allied health field. 
• All doctoral requirements must be completed before the fellowship begins. 
• U.S. citizenship is required for the VA appointment.

Research Environment / Training Context

The Stress, Trauma, and Resilience (STAR) Lab, led by Sabra Inslicht, PhD, is based at the San Francisco VA Health Care System and UCSF. The lab studies biological risk and resilience and develops treatments for PTSD and insomnia. Its portfolio includes active federally funded grants and multi-site clinical trials across several VA sites, spanning sleep physiology and quantitative EEG, neuroendocrine mechanisms (including orexin signaling), inflammation and multi-omics biomarkers, fear conditioning and extinction with psychophysiology, women's health and the menopausal transition, and remote assessment using wearable sensors. Fellows join a collaborative, multidisciplinary team of investigators, postdoctoral fellows, and research staff. They have access to existing clinical-trial and longitudinal datasets and work with collaborators across the SF VA, UCSF, and partner VA sites nationally. Mentoring is individualized and centered on the fellow's own research questions, with regular one-on-one meetings and a written development plan. Professional development opportunities include leading first-author manuscripts, presenting at national conferences, and preparing grant applications (e.g., VA Career Development and NIH K/F mechanisms) toward building an independent research program. Clinically eligible fellows may train in Prolonged Exposure for Primary Care (PE-PC) and other evidence-based PTSD and insomnia treatments. Fellows also benefit from the seminars, didactics, and training resources of the SF VA and UCSF Department of Psychiatry and Behavioral Sciences.

How to Apply

Applicants interested in working with the STAR Lab are encouraged to contact Sabra Inslicht, PhD [email protected] to discuss research fit and available fellowship pathways. Please send a CV, a brief statement of research interests and career goals, and the names of three references. Priority review begins November 20, 2026. Applications will be considered on a rolling basis until the position is filled. This is an anticipated two-year fellowship in San Francisco, California.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 10.13.26}

Posting Description

The San Francisco VA Health Care System, affiliated with the University of California, San Francisco (UCSF), invites applications for its two-year VA Advanced Postdoctoral Fellowship in Women’s Health for the 2027–2028 academic year. The fellowship prepares researchers across disciplines for careers advancing the health of women and women Veterans through individualized mentoring, research, and education. Research areas include PTSD, sleep, psychophysiology, fear conditioning, psychoneuroendocrinology, inflammation, sex differences, ovarian aging and menopause, breast cancer, cardiovascular risk, pain, and other women’s health concerns. Fellows work with multidisciplinary faculty to analyze existing datasets, develop new studies, contribute to ongoing projects, and publish findings. Training includes coursework and supervised research. Clinically trained fellows spend up to 25% of their time providing care in the Women Veterans’ Comprehensive Health Center.  

Posting Qualifications

• Applicants must have a medical degree (MD) or a doctorate of philosophy (PhD) in clinical psychology, nursing, or non-clinical Ph.D. (e.g., neuroscience, health psychology, epidemiology, data science) or other allied health fields. 
• MD applicants must have completed an approved residency. 
• For clinical psychology PhD applicants, an APA-accredited doctorate in clinical or counseling psychology and an APA-accredited internship are required. 
• Non-clinician researchers are also encouraged to apply. 
• All requirements for the doctoral degree must be completed before the start of the fellowship year. 
• U.S. citizenship is required.

Research Environment / Training Context

The San Francisco VA Health Care System is affiliated with UCSF, one of the top-ranked medical schools in the country. In addition to its broader commitment to the veteran population and education, SFVAHCS has the largest funded research program in the Veterans Health Administration, with more than $87 million in annual research expenditures. The San Francisco VA Medical Center is the top-ranked VA medical center in terms of research grants.

How to Apply

Interested psychologists, MDs, and allied health professionals who meet the eligibility requirements should submit the following: 

1. A letter of interest detailing the applicant’s research experience, interests, and career goals, and proposed faculty mentor(s) from the list above 
2. A curriculum vitae 
3. Three letters of recommendation (at least two from current or recent research mentors) 

Please include items #1 and #2 in a combined PDF. Letters should be emailed directly by recommenders to [email protected]. Please direct application materials or questions to: 

• Psychology, psychiatry, and neurosciences applicants: Sabra Inslicht, PhD, [email protected] 
• Medicine and other allied health applicants: Karla Kerlikowske, MD, [email protected]

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
 
_{Posted: 10.13.26}