Postdoctoral Fellow — Neural Data Analysis & Publications

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Bus pass

Family concierge

Fitness center access

Tuition benefits

Comprehensive benefits

Job summary

Carnegie Mellon University is a private, global research university renowned for innovations across brain science, big data, and robotics. The postdoctoral fellow will lead statistical analyses of neural population activity across brain areas, with dissemination at conferences and in journals, in collaboration with Prof.

Adam Kohn's lab. The role is housed in the Department of Electrical and Computer Engineering, with a focus on independent yet collaborative research.

Qualifications

• Ph.D. in Electrical, Mechanical, Materials Science, Physics or closely related field.
• Strong publication record in MEMS, resonators, piezoelectric devices, RF systems, or related areas.
• Demonstrated ability to conduct independent research within a collaborative team.
• Excellent written and verbal communication skills.

Responsibilities

• Collect and analyze data, including literature search and specialized skills.
• Conduct research experiments within department/university methodology.
• Lab maintenance, equipment upkeep and supply ordering as needed.
• Assist in manuscript writing and presentations; may assist in grant writing.
• Other duties as assigned.

Skills

Independent research

Strong publication record

Collaborative teamwork

Excellent communication

Education

Ph.D. in Electrical Engineering, Mechanical Engineering, Materials Science, Physics, or closely related field

Job description

Carnegie Mellon University is a private, global research university renowned for innovations across brain science, big data, and robotics. The postdoctoral fellow will lead statistical analyses of neural population activity across brain areas, with dissemination at conferences and in journals, in collaboration with Prof.

Adam Kohn's lab. The role is housed in the Department of Electrical and Computer Engineering, with a focus on independent yet collaborative research.