[Eeglablist] Fully funded PhD in EEG and metabolic neuroscience – exercise and brain insulin sensitivity (UMass Amherst) (Fall 2027)

[Dominika Pindus]

Dear EEGLAB community,

We are recruiting a fully funded PhD student (Fall 2027) to help build a new line of human research combining EEG/ERP with the hyperinsulinemic-euglycemic clamp to study how exercise affects brain insulin sensitivity. Candidates with MATLAB or Python skills and EEG experience are especially encouraged to apply. The priority deadline is December 1, 2026. Full details are below.

Sincerely,

Dominika Pindus, PhD, MS, MA
Assistant Professor
Department of Kinesiology &
Institute for Applied Life Sciences
University of Massachusetts Amherst
S313 Life Science Laboratories
240 Thatcher Rd.
Amherst, MA 01003
Phone: (413) 545-7996
Email: dpindus at umass.edu<mailto:dpindus at umass.edu>

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Fully funded PhD position: Exercise, Metabolism, and Brain Health (Fall 2027)
The SITLess4Brain Lab (Dr. Dominika Pindus, Department of Kinesiology, UMass Amherst) is recruiting a PhD student to start in Fall 2027. Our lab studies how physical activity, sitting, and metabolic health shape cognition and brain function from midlife to older age.
We are looking for qualified and motivated candidates to help our group study the benefits of exercise for brain insulin sensitivity.
The project. The student will help build a new line of human research that uses an exercise paradigm combined with hyperinsulinemic-euglycemic clamp and EEG methods. The work is in collaboration with endocrinologist and a statistician.
Training. EEG and event-related potential recording and analysis; insulin physiology; human exercise trials, from recruitment and screening to maximal exercise testing and data management; statistics; and scientific writing, conference presentations and grant writing. The program includes coursework in exercise physiology.
Beyond the opportunity to develop technical skills, members of the SITLess4Brain laboratory regularly attend national and international conferences to grow professional networks.
Required qualifications. A bachelor's or master's degree in kinesiology, exercise science, neuroscience, cognitive psychology, or a related field;
Beyond the traditional routes (e.g., BS/A to MS; MS to PhD), the UMass Department of Kinesiology offers a BS to PhD degree path.
Preferred qualifications

  *   Programming in MATLAB or Python
  *   Experience with EEG
  *   Experience with data collection/processing
  *   Experience with exercise testing
  *   A strong interest in metabolism and brain health
  *   Experience with physiological measurement or blood sample processing is a plus
Funding. The position is fully funded including a tuition waiver!
Timeline. The position starts in Fall 2027. Apply through the UMass Graduate School. The priority deadline is December 1, 2026, and review continues until the position is filled.
For inquiries about the position, please contact Dr. Dominika Pindus: dpindus at umass.edu.
For additional details about our work, visit Dr. Pindus’s LinkedIn page: https://urldefense.com/v3/__https://www.linkedin.com/in/dominika-pindus-1a6201369/__;!!Mih3wA!AVN6jzf7CNAdvRPBWFsIcnFdMLXCVHDfmSQLtj1QdgkUERU97oMPjtLqpgkte_tmrv3z6wWXiSuxMmUMrZhioR8$