Research Fellowship Position @ Somneuro Lab at UMass Amherst, MA

The Somneuro Lab at UMass Amherst is seeking a full-time post- baccalaureate Research Fellow to contribute to innovative studies of cognitive development and sleep in a longitudinal sample of infants and young children. This role involves the investigation of the neural mechanisms underlying sleep and the benefits of such to cognitive development, employing diverse tools to address these questions (MRI, EEG/polysomnography, behavioral assessments).

Responsibilities:

  • Conducting experiments with young children (MRI, behavioral, and sleep physiology data collection). Data processing and analysis.
  • Training and supervising undergraduate students and project assistants.
  • Performing general administrative duties, including data management, scheduling meetings, and helping with purchasing and equipment maintenance.
  • Assisting with research protocols and compliance.
  • Contributing to data dissemination (poster presentations, manuscript submissions).
  • Work collaboratively and effectively to promote teamwork, diversity, equality and inclusiveness.
  • Work in partnership with colleagues within the CNS community and across the campus to support the Dean’s strategic priorities.
  • Perform other duties as assigned in support of the mission and goals of the College of Natural Sciences.

Qualifications:

Minimum

  • Bachelors degree.
  • Previous research experience with human subjects.
  • Valid driver’s license and reliable transportation.
  • Ability to work independently with keen attention to detail.
  • Excellent interpersonal skills; ability to interact effectively, professionally and harmoniously with a diverse population of parents and children.
  • Ability to organize and prioritize goals; ability to collaborate well to formulate plans and objectives.
  • Previous experience working with children in some capacity.

Preferred

  • Demonstrated experience managing research assistants or other staff. Experience collecting MRI, EEG/polysomnography data.
  • Strong computational and programming skills.

Click here for more information and to apply
 

Type
  • Paid job
  • Professional development
Timeframe
  • Post-graduation