Open Positions in computational social, affective, and pain neuroscience at Dartmouth

Open Positions in computational social, affective, and pain neuroscience at Dartmouth

Dartmouth College

Hanover, NH, United States

The department of Psychological and Brain Sciences at Dartmouth College is launching a new initiative in social, affective, and pain neuroscience. We will recruit up to 9 postdoctoral researchers and up to 3 technical staff (data science, programming) to work on federally-funded research investigating naturalistic elicitations of emotional experiences, social interactions, and pain.


Ideal candidates will have: (1) a PhD in a relevant quantitative discipline (e.g., neuroscience, computer science, physics, applied math, psychology),  (2) a strong background in signal processing and data analysis (e.g., computational modeling, time series analysis, machine-learning), (3) a demonstrated record of creativity and innovation. An interest in contributing to the development of open source software is also preferred.


Example Projects include:


Emotion and social interaction

  • - Developing predictive models of naturalistic emotional experience using fMRI (Chang, Wager)

  • - Modeling spatiotemporal dynamics of emotional experiences using fMRI and intracranial EEG (Chang)

  • - Developing predictive models of social emotions (e.g., guilt) reflected in facial expressions and brain activity elicited in the context of real social interactions (Chang)

  • - Developing new methods of functionally aligning brain representations of psychological states across cognitive, emotional, and somatic tasks (e.g., hyperalignment) (Wager)

  • - Investigating dynamic coupling between interacting minds using hyperscanning (Wheatley)

  • - Ecological measures of pain and emotion using smartphones and wearable technology (Wager)

  • - Modeling of brain systems that contribute to pain, and neuroplastic changes underlying the transition to chronic pain (Wager)

  • - Developing new approaches to studying social learning using both fMRI and text analysis methods (Meyer)


Interventions for pain and negative emotion

  • - Mechanistic studies of placebo effects and social context effects on pain, anxiety, and depression (Wager)

  • - fMRI and EEG neurofeedback-based modulation of pain and emotion (Wager)

  • - Interventions for pain and emotion based on transcranial magnetic stimulation (TMS) and direct current stimulation (TDCS/TACS) (Wager)

  • - Psychological and biobehavioral treatments for chronic pain (Wager)


Interested applicants should contact Amanda Brandt (Amanda.M.Brandt@dartmouth.edu) with a brief statement of interest (1 page maximum), and a CV, and contact information for a letter of reference



Luke Chang, PhD

Assistant Professor

Director of the Computational Social Affective Neuroscience Lab

http://cosanlab.com/


Meghan Meyer, PhD

Assistant Professor

Director of the Dartmouth Social Neuroscience Lab

http://www.dartmouth-socialneurolab.com/


Thalia Wheatley, PhD

Associate Professor

Director of the Dartmouth Social Systems Lab

http://www.wheatlab.com/


Tor Wager, PhD

Diana L. Taylor Distinguished Professor

Director of the Cognitive and Affective Neuroscience Lab

https://canlabweb.colorado.edu/


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Open Positions in computational social, affective, and pain neuroscience at Dartmouth