Position Description
Postdoctoral Associate
Mnemology Lab
Dr. Roberto Cabeza & Dr. Simon Davis
Center for Cognitive Neuroscience
Department of Psychology & Neuroscience
Duke University
Overview:
A Postdoctoral Associate position on the neural mechanisms of memory networks and representations is available in the Mnemology Lab, which is co-directed by Dr. Roberto Cabeza (Duke University) and Dr. Simon Davis (Indiana University). The Postdoctoral Associate will work at Duke University (Durham, NC) but will be co-supervised by both Dr. Cabeza and Dr. Davis.
Some studies focus on basic memory mechanisms in young adults and some on the effects of aging on these mechanisms. The projects seek to improve our scientific understanding of memory function by investigating (a) the nature of mnemonic representations using cutting-edge representational similarity analyses (RSA) of fMRI data, and (b) the critical role of structural and functional connectivity using combined tractography and graph theory analyses. Our modeling of mnemonic representations uses the latest tools available to AI, including advanced neural network models and LLM approaches, to efficiently model semantic structures in images, concepts, and real-world stimuli. Applications to age-related pathologies including Alzheimer's disease and Dementia are also examined.
Essential Duties:
The Postdoctoral Associate will contribute to ongoing studies and will lead new studies. The main duties are designing new studies, supervising scanning, analyzing data, presenting at conferences, and publishing papers, as well as helping PhD students with the same tasks. Approximately 70% effort will be dedicated to personal projects and 30% to supervising and assisting PhD students.
Qualifications
• Candidates with a Ph.D. in any area of cognitive neuroscience broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are welcome to apply.
• Candidates should have a developing track record of research output
• Programming proficiency in python is essential
• Commitment to open research, as appropriate to the discipline
• Ideal candidates have
- Theoretical understanding of episodic and/or semantic memory function
- Experience in fMRI research
- Working knowledge of DNN, RNN, or transformer architectures
This is a full time, grant funded position, eligible for all Duke benefits (https://hr.duke.edu/benefits) with an initial appointment of one year with the possibility of renewal, dependent on funding and performance.
The anticipated start date is December 1st, 2025
Interested individuals should apply through Academic Jobs Online and include their CV, a statement of research interests, and contact information for at least 2 references. Only applicants who have applied through Academic Jobs Online will be reviewed. Applications will be reviewed on a rolling basis until the position is filled.
If you are not able to upload your application materials or if letter writers would prefer to upload their letters directly, please complete your application and email those materials to Meghann Koffi at meghann.koffi@duke.edu to be uploaded manually.
Duke
is an Equal Opportunity Employer committed to providing employment
opportunity without regard to an individual's age, color, disability,
gender, gender expression, gender identity, genetic information,
national origin, race, religion, (including pregnancy and pregnancy
related conditions), sexual orientation, or military status.
Duke aspires to create a community built on collaboration,
innovation, creativity, and belonging. Our collective success depends on
the robust exchange of ideas—an exchange that is best when the rich
diversity of our perspectives, backgrounds, and experiences flourishes.
To achieve this exchange, it is essential that all members of the
community feel secure and welcome, that the contributions of all
individuals are respected, and that all voices are heard. All members of
our community have a responsibility to uphold these values.