Job Openings

Postdoctoral Fellow

The LNCD uses multimodal approaches to characterize the neural basis of the normative development of cognitive and motivational processes during the transition through adolescence to adulthood to construct a normative template of development to inform impaired development in clinical populations.

Current projects utilize: fMRI, rsfMRI, DTI/DSI, PET, MT, R2’, and MRSI, as well as a comprehensive neurocognitive battery and assessments related to mental health to probe the mechanisms underlying neurocognitive development. Unique tasks that probe reinforcement learning and working memory as well as contextual learning are used with fMRI to further inform mechanisms.

The successful applicant would develop their unique projects beginning with available data from ongoing studies and later transitioning into establishing their unique scientific trajectory. They will also be expected to help mentor trainees and provide input and direction on existing projects. Opportunities for transition to faculty positions are available.

Qualifications:

  • PhD with a background in psychology, neuroscience, cognitive science and/or development who is interested in neurocognitive development through adolescence.
  • Strong written and verbal presentation skills
  • A promising research publication record, and an interest in using multiple methodologies.
  • Preferred technical qualifications:
    • experience with fMRI (including analyses in FSL, AFNI, or similar)
    • strong programming skills (e.g., Matlab, Python)
    • strong knowledge of statistics,
    • the ability to run or learn to run basic and more complex statistical analyses in Matlab, R, Python, etc.

Preferably but not exclusively, applicants must be eligible to work in the United States to apply for T32s.

LNCD projects are supported by ongoing R01 NIMH grants and endowments to provide a stable research environment. Pittsburgh has uniquely strong neuroscience, psychiatry, and psychology communities through the University of Pittsburgh and Carnegie Mellon University, which are highly collaborative. The city was recently named one of the most affordable cities in the U.S., has a long-standing culture and large university population, and is a hotspot for major entrepreneurships such as Google and Uber.

If you are interested in applying, please email Dr. Luna directly lunab@upmc.edu with a CV and statement of interest.