SPAN Postdoctoral Associate
- Employer
- University of Vermont
- Location
- Burlington
- Salary
- $63,480 - $77,076, tied to NIH limit, based on years
View more categoriesView less categories
- Employment Type
- Full Time
- Institution Type
- Four-Year Institution
Job Details
SPAN Postdoctoral Associate
Posting Summary
The University of Vermont (UVM) Larner College of Medicine invites applications for a Postdoctoral Associate position in the Department of Psychiatry, under the mentorship of Matthew D. Albaugh, Ph.D. This position is supported by a NIDA-funded R01 grant and represents a unique opportunity to engage in methodologically rigorous, high-impact research at the intersection of developmental neuroscience, psychiatric epidemiology, and advanced computational data science. UVM is a Carnegie R1 research university with a sustained institutional commitment to transdisciplinary inquiry and a vibrant intellectual environment anchored by the Neuroscience, Behavior and Health Initiative. Burlington, Vermont — situated on the shores of Lake Champlain between the Green Mountains and Adirondacks — consistently ranks among the most livable and progressive small cities in the United States.The Postdoctoral Associate will lead cutting-edge analyses leveraging three of the largest multimodal longitudinal neuroimaging datasets in existence — ABCD, IMAGEN, and ENIGMA — to delineate developmental windows of vulnerability to cannabis exposure, characterize longitudinal trajectories of brain and behavioral change, and rigorously assess causal relations among cannabis use, neurodevelopment, and psychiatric outcomes. The successful candidate will bring demonstrated expertise in Bayesian statistical methods and causal inference frameworks (e.g., Bayesian causal networks, cross-lagged panel models, propensity score matching, discordant twin designs), as well as a strong theoretical and applied grounding in complex systems science as it pertains to biological and neuropsychiatric data. Hands-on experience with very large, longitudinal, multisite neuroimaging datasets is essential, as is demonstrated proficiency in neuroimaging data processing and analysis pipelines. The Associate must possess advanced competency in both R and Python, with demonstrated experience applying machine learning methods — including regularized regression, ensemble methods, and supervised classification — within rigorous cross-validation frameworks. Experience with data management, quality control, and data sharing in the context of large-scale, multi-wave studies is required.Candidates must hold a doctoral degree in a quantitative, computational, or neuroscientific discipline, with a record of peer-reviewed publication commensurate with career stage. The ideal applicant will combine deep methodological sophistication with intellectual curiosity, collaborative acumen, and a commitment to open, reproducible science. This position offers an exceptional training environment, close mentorship from productive and well-funded faculty, and direct access to some of the most powerful datasets in developmental psychiatric neuroscience.
Minimum Qualifications (or equivalent combination of education and experience)
- Postdoctoral degree in a quantitative, computational, neuroscientific, or closely related discipline
- Demonstrated background and hands-on experience in the analysis of longitudinal neuroimaging data (e.g., structural MRI, diffusion imaging) from large, multisite studies
- Strong theoretical and applied grounding in Bayesian statistical methods and causal inference frameworks (e.g., Bayesian causal networks, cross-lagged panel models, propensity score methods, discordant twin designs)
- Demonstrated background in complex systems science and its application to neurobiological or psychiatric research
- Advanced proficiency in R and Python for statistical computing and data science applications
- Demonstrated experience applying machine learning methods (e.g., regularized regression, ensemble approaches, supervised classification) within rigorous cross-validation frameworks
- Experience with data management, quality control, and data sharing protocols in the context of large-scale, multi-wave research studies
- Record of peer-reviewed scholarly productivity commensurate with career stage, and strong written and oral communication skills
- Ability to work both independently and collaboratively within a multidisciplinary research team, and commitment to open, reproducible science
Desirable Qualifications
Support departmental initiatives, assist with occasional teaching or guest lecturing, serve on committees, or attend training sessions as appropriate.
Anticipated Pay Range
$63,480 - $77,076, tied to NIH limit, based on years
Other Information
Special Conditions
Contingent on continued funding, Occasional evening and/or weekends required (if non-exempt position, may result in overtime), This position is eligible for a hybrid schedule with an option to split time between campus and elsewhere, in accordance with the university telecommuting policy, Background Check required for this position
FLSA
Exempt
Union Position
No
Job Location
Burlington, Vermont, United States
Job Close Date (Jobs close at 11:59 PM EST.)
Open Until Filled
Department
Psychiatry/55750
Standard Hours at 1.0 FTE
37.5
Term (months per year)
12
For full job description and to apply, visit https://apptrkr.com/9816917"">https://www.uvmjobs.com/postings/88065
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Organization
The University of Vermont’s hilltop campus looks out across one of America’s most vibrant small cities to Lake Champlain and the Adirondack Mountains beyond. Here, students’ educational experience and activities are enriched by our location — from the energy and innovation of Burlington to the forests, farms, and independent spirit of Vermont.
UVM is a Public Ivy and top 100 research university of a perfect size, large enough to offer a breadth of ideas, resources, and opportunities, yet small enough to enable close faculty-student mentorship. With a commitment to undergraduate education, UVM professors — world-class researchers, scholars, and artists — bring their discoveries into the classroom and their students into the field.
You’ll find UVM faculty and students studying the effects of climate change aboard the Melosira, a research vessel and floating lab; testing new vaccines at the on-campus medical center; launching local start-ups; and working with refugees at Burlington community centers.
Since 1791, the University of Vermont has worked to move humankind forward. The fifth oldest university in New England, UVM boasts a legacy of important firsts in education: the first college to declare public support of freedom of religion and the first to admit women and African-Americans to Phi Beta Kappa.
Today, the university continues to provide endless ways to explore the world, challenge ideas, and dig in on the most pressing issues of our time.
At a glance:
- Founded in 1791, became a Land Grant university in 1862
- Home to seven undergraduate schools and colleges, the Honors College, Graduate College, Larner College of Medicine, and Division of Continuing and Distance Education
- Enrollment: 10,267 undergraduates, 1,462 graduate students, 461 medical students, 23 post-baccalaureate certificates, 892 non-degree students
- 1,556 full- and part-time faculty
- Offering 100+ bachelor’s degree programs, 50 master’s programs, 29 accelerated master’s programs, and 22 doctoral programs
- 18 Division I athletic teams
- “UVM” stands for Universitas Viridis Montis, Latin for University of the Green Mountains
Our vision
To be among the nation’s premier small research universities, preeminent in our comprehensive commitment to liberal education, environment, health and public service.
Our mission
To create, evaluate, share and apply knowledge and to prepare students to be accountable leaders who will bring to their work dedication to the global community, a grasp of complexity, effective problem-solving and communication skills, and an enduring commitment to learning and ethical conduct.
About Burlington:
UVM’s hometown perennially appears on national rankings that laud its livability, access to nature and recreation (including the best skiing in the northeast), thriving food and music scene, rising identity as a technology and innovation hub, and its status as a top college town. City perks include an active pedestrian marketplace in the heart of downtown, 8 miles of waterfront along Lake Champlain featuring stunning sunsets over the Adirondacks beyond, and a 12-mile paved bike trail that runs along the lake. Burlington’s nickname, BTV, comes from the code for its airport, just 10 minutes from campus. With Montreal a 90-minute and Boston a 3.5-hour drive away, international and metropolitan culture are easily accessible for weekend adventures.
With a metro-area population of approximately 210,000, Burlington is Vermont’s largest city. In addition to UVM, large local employers include Global Foundries, GE Healthcare, Keurig Green Mountain, Dealer.com, Seventh Generation and Ben & Jerry’s Homemade. Vermont’s public K-12 schools are perennially ranked among the best in the nation.
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