Anticipated Appointment Date: October/November 2026 – June 2028​

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Overview of the position

• Education: The postgraduate associate will learn about:

  • Theories and methods in computational psychiatry

  • Mental health and substance use assessments and evaluations

  • Neural data collection with human participants

• Training: The position will provide extensive computational and clinical research 
  experience. There are opportunities for career development through conferences,
  lectures, didactics, and participation in clinical research study visits. Candidates also 
  have opportunities to receive peer mentorship to refine career goals and select
  opportunities for further training. Specific training can include:

  • Building knowledge in fields related to substance use disorders and depression

  • Recruitment/enrollment/retention of study participants

  • Design and maintenance of online databases

  • Computational psychiatry principles and analytical approaches

  • Written and oral communication of results

  • Developing scientific writing skills

• Mentoring: The candidate will receive mentoring from Dr. Xiaosi Gu directly. The 
  candidate will meet with Dr. Gu weekly to discuss progress and productivity. The 
  candidate will also receive mentoring from other members of the lab. The candidate will 
  participate and present at weekly journal clubs and have opportunity to learn about a wide range of topics in computational psychiatry

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Qualifications

• Bachelor’s degree required; master’s degree preferred but not required

• Prior experience working with human participants required

• Prior experience with fMRI data collection preferred but not required

• Prior experience working with clinical populations (psychiatric and/or substance use disorders) preferred but not required

• Excellent organizational, communication, and teamwork skills

• Strong interest in psychiatry and neuroscience

• Motivation to pursue a research-oriented career in psychiatry, clinical psychology, or neuroscience

• Prior experience with programming (e.g. Python, R, JavaScript, Matlab) preferred but not required