Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain

The Chronicle Of Higher Education, Inc.; Minneapolis (MN); Hybrid; USD 63,480 - 74,424; Full time

Benefits offered by this job

Competitive wages

Paid holidays and generous time off

Continuous learning opportunities

Medical, dental, and pharmacy plans

Disability and life insurance

Job summary

The Chronicle Of Higher Education, Inc. seeks a Post-Doctoral Associate to join a research program focused on neural circuit mechanisms related to cognition and psychiatric illness. The role includes leading analyses of human electrophysiological data and developing computational models, in addition to mentoring students and collaborating across disciplines.

Successful candidates will be tasked with experimental design, scientific dissemination, and possess advanced skills in neuroscience, psychology, or related fields. This position offers a hybrid work schedule and competitive benefits.

Qualifications

• Strong quantitative skills and experience in programming.
• Background in analyzing human behavioral or biological datasets.
• Excellent communication skills; can work in multidisciplinary teams.

Responsibilities

• Analyze human behavioral and neuroimaging datasets.
• Design and execute cognitive neuroscience experiments.
• Write scientific publications and assist with grant proposals.
• Mentor graduate students and collaborate with diverse teams.
• Present findings at academic conferences.

Skills

Strong quantitative and programming skills

Experience analyzing complex biological datasets

Strong written and verbal communication skills

Ability to work independently and collaboratively

Education

PhD, MD/PhD, or equivalent in relevant fields

Tools

Python

MATLAB

R

Julia

Job description

About the Job

The Post-Doctoral Associate will join an interdisciplinary research program focused on understanding the neural circuit mechanisms underlying cognition and psychiatric illness. The successful candidate will lead analyses of human intracranial electrophysiology, behavioral, and brain stimulation datasets; develop computational models of neural and behavioral processes; contribute to experimental design; and disseminate findings through publications and conference presentations. This position provides a unique opportunity to work with rare human intracranial datasets and advanced neuromodulation approaches while developing an independent research trajectory in systems, cognitive, or clinical neuroscience.

Work Schedule: In-person (Hybrid flexibility possible), M-F and weekends.

Duties / Responsibilities

• 40% Research and Data Analysis:
  • Analyze human behavioral, electrophysiological, neuroimaging, and brain stimulation datasets.
  • Develop computational models of cognition, behavior, and neural activity.
• 25% Experimental Design and Study Execution:
  • Design, implement, and oversee cognitive neuroscience and neuromodulation experiments.
  • Contribute to protocol development and data collection efforts.
• 20% Manuscript and Grant Preparation:
  • Lead and contribute to scientific publications.
  • Assist with grant writing and development of new research initiatives.
• 10% Mentorship and Collaboration:
  • Mentor graduate students, research staff, and trainees.
  • Collaborate with investigators across psychiatry, neurosurgery, neuroscience, engineering, and psychology.
• 5% Scientific Dissemination:
  • Present research findings at conferences, seminars, and collaborative meetings.

Qualifications

Required Qualifications

• PhD, MD/PhD, or equivalent doctoral degree in neuroscience, psychology, cognitive science, biomedical engineering, computer science, psychiatry, neurology, statistics, or a related field.
• Strong quantitative and programming skills.
• Experience analyzing human behavioral, electrophysiological, neuroimaging, or other complex biological datasets.
• Demonstrated scholarly productivity through publications, preprints, or equivalent research outputs.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications

• Experience with intracranial EEG, ECoG, stereo-EEG, DBS recordings, or neural stimulation studies.
• Expertise in computational modeling, including reinforcement learning, Bayesian methods, drift-diffusion models, or state-space approaches.
• Experience with Python, MATLAB, R, Julia, or related scientific computing tools.
• Familiarity with human cognitive neuroscience experiments and task design.
• Experience with neuromodulation methods including TMS, tACS, DBS, or responsive neurostimulation.
• Interest in computational psychiatry, addiction, depression, chronic pain, or related translational neuroscience research.

Pay and Benefits

Pay Range: $63,480 - $74,424 annually; depending on education/qualifications/experience.

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and life insurance
• Employee wellbeing program
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

Diversity

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.

Employment Requirements

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.