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Postdoctoral In Reinforcement Learning Jobs in Minnesota

On this project, you will be creating Reinforcement Learning Environments which test an AI model's ability to find and patch security vulnerabilities in code. Your task will be to create a ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
What are popular job titles related to Postdoctoral In Reinforcement Learning jobs in Minnesota? For Postdoctoral In Reinforcement Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Minnesota look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Minnesota with the most Postdoctoral In Reinforcement Learning job openings:
Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain Stimu...

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

University of Minnesota

Minneapolis, MN

$63K - $74K/yr

Full-time

Medical, Dental, Life

Posted 17 days ago


Job description

About the Job
 

Position Summary:
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.
About the Department
 

The Herman Darrow Lab at the University of Minnesota conducts interdisciplinary research at the intersection of human cognitive neuroscience, computational psychiatry, intracranial electrophysiology, and brain stimulation. The lab investigates how distributed neural circuits support cognition, decision-making, working memory, cognitive control, and psychiatric symptoms. Research combines human intracranial recordings, computational modeling, behavioral experimentation, and neuromodulation approaches to develop circuit-based interventions for psychiatric and neurological disorders.

To learn more about the Department of Psychiatry and Behavioral Sciences, please visit https://med.umn.edu/psychiatry. 

Pay and Benefits
 

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

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • 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
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

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.  To learn more about diversity at the U:  http://diversity.umn.edu

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.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.