Using Machine Learning to Address Biological Questions

Application deadline closed.

Job Description

The Data Sciences and Artificial Intelligence (DS/AI) group at Penn State invites applications for a Postdoctoral Scholar position, set to commence in Fall 2024. This role is centered on cutting-edge research at the nexus of machine learning, deep learning, computer vision, psychology, and biology, with foci on psychology-inspired AI and addressing significant biological questions using AI.

The successful candidate will be designated as a Postdoctoral Scholar at the College of Information Sciences and Technology (IST) of The Pennsylvania State University. The initial term of the position is for one year, with the possibility of renewal upon performance and fund availability. The scholar will be engaged in two interdisciplinary projects funded by the National Science Foundation, receiving mentorship from Professors James Wang (IST), Brad Wyble (Psychology), and Charles Anderson (Biology). The scholar will collaborate with highly motivated and talented graduate students and benefit from strong career development support, which includes training in teaching, grant proposal writing, and other collaborative work. Qualified candidates will have the ability to teach in IST after successfully completing one semester with approval from college leadership.

Qualifications:

Ph.D. in computer science, A.I., data science, physics, or neuroscience with an emphasis on machine learning, or a closely related field. To qualify, candidates must possess a Ph.D. or terminal degree before their employment starts at Penn State.

To Apply:

Please submit a CV, research statement (max 3 pages), and other pertinent documents in a single PDF document with the application.

Deadline: February 29, 2024, for full consideration. Late applications are accepted but given secondary priority.

For inquiries, please email with the subject line “postdoc” to Professor James Wang at jwang@ist.psu.edu.

Preferred Research Skills

A strong record of publications in high-impact journals or premier peer-reviewed international conferences.

Prior experience in conducting interdisciplinary/multidisciplinary research is a plus.

How should applicants apply?
By Email