Post-DocApplications Closed

Prof David Brang

Ann Arbor, Michigan
Apply by Dec 31, 2021

Application deadline

Dec 31, 2021

Job

Job location

Prof David Brang

Geocoding

Ann Arbor, Michigan

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Dec 31, 2021

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Prof David Brang

Geocoding

Ann Arbor, Michigan

Geocoding in progress.

Source: legacy

Map

Job Description

We are seeking a full-time post-doctoral research fellow to study computational and neuroscientific models of perception and cognition. The research fellow will be jointly supervised by Dr. David Brang (https://sites.lsa.umich.edu/brang-lab/) and Zhongming Liu (https://libi.engin.umich.edu). The goal of this collaboration is to build computational models of cognitive and perceptual processes using data combined from electrocorticography (ECoG) and fMRI.

The successful applicant will also have freedom to conduct additional research based on their interests, using a variety of methods -- ECoG, fMRI, DTI, lesion mapping, and EEG. The ideal start date is from spring to fall 2021 and the position is expected to last for at least two years, with the possibility of extension for subsequent years.

We are also recruiting a Post-Doc for research on multisensory interactions (particularly how vision modulates speech perception) using Cognitive Neuroscience techniques or to help with our large-scale brain tumor collaboration with Shawn Hervey-Jumper at UCSF (https://herveyjumperlab.ucsf.edu). In this latter collaboration we collect iEEG (from ~50 patients/year) and lesion mapping data (from ~150 patients/year) in patients with a brain tumor to study sensory and cognitive functions in patients. The goals of this project are to better understand the physiology of tumors, study causal mechanisms of brain functions, and generalize iEEG/ECoG findings from epilepsy patients to a second patient population.

Requirements

  • Required Qualifications*
  • A Ph.D. in psychology
  • neuroscience
  • biomedical engineering
  • computer science
  • or a related field
  • Experience analyzing neurophysiological signals (EEG
  • ECoG
  • MEG
  • or neurophysiological recordings in animals)
  • Computational skills (e.g.
  • machine learning or other advanced oscillatory analyses)
  • Demonstrated programming skills
  • Publication record
  • written communication abilities
  • and interpersonal skills
  • Desired Qualifications*
  • Experience processing resting state or task fMRI data
  • Prior research in characterizing brain networks
  • Ability to help create fMRI and ECoG visualization tools