Postdoctoral researchers

The PCN Lab invites applications for two full-time postdoctoral researcher positions, each for a 3–4-year appointment. The successful candidates will investigate advanced cognitive functions in rhesus macaques and collaborate with neurosurgeons or computational neuroscience teams.

Responsibilities:

• (Optional) Investigating the representation, transformation, and transmission of task-relevant information in the prefrontal-striatal circuitry during advanced cognitive tasks in rhesus macaques.

• (Optional) Collaborating with neurosurgeons to study neuronal activity in humans performing advanced cognitive functions using invasive electrophysiological techniques and comparing results with rhesus macaque findings.

• (Optional) Collaborating with a computational neuroscience team to develop novel mathematical models based on high-throughput data to understand the information flow within neural circuits.

• Perform data analysis and contribute to manuscript preparation and publication.

Requirements:

• A Ph.D. degree (or expected soon) in Electrophysiology, Computational Neuroscience, Cognitive Neuroscience, Clinical Medicine, Psychology, or related fields.

• A solid mathematical foundation and proficiency in machine learning, linear algebra, and mathematical modeling are preferred.

• Proficiency in programming, particularly in MATLAB or Python.

• Published SCI papers as the first author.

• Fluent in English, with strong communication skills and a collaborative mindset.

Compensation and Benefits:

• Top-tier research platform and environment.

• Competitive salary with benefits, including full insurance as per national and institutional policies. 

• Successful candidates will be integrated into the institution's personnel management system.

Personal Development Support:

• Opportunity to mentor students.

• Guidance for funding applications.

• International academic exchange opportunities.

• Strong backing for obtaining academic positions or finding desirable roles in industry.

To apply, please send your CV/resume, a cover letter describing your relevant research experience and interests, and contact information for three references to the PI, Dr. Hua Tang.