Rsch Pro 5-Astrphys/Cosmology (Coughlin)

Required Qualifications:
PhD in Computer Science, Statistics, Mathematics, Physics. 1 or more years of research experience/training.

Preferred Qualifications:
Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics.
Previous experience analyzing gravitational-wave or other large astronomical data sets.

Strong written and verbal communication skills.
Strong collaboration skills.
Strong desire to learn new computing platforms.

Job description:

• 50%: Lead and conduct research in the development and application of algorithms for gravitational-wave data analysis, including searches for a stochastic gravitational-wave background with LIGO and technology development for future interferometer generations
• 20%: Write and contribute to research grant proposals and funding applications as PI or co-PI
• 20%: Supervise and mentor graduate students, technicians, and undergraduates participating in research
• 5%: Communicate and coordinate with collaborators and other personnel involved in the research, including those from non-computing disciplines
• 5%: Conduct independent research in a related discipline of interest including review of manuscripts and/or literature
• Other duties of a similar scope as assigned

School of Physics and Astronomy: https://cse.umn.edu/physics

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume or CV.

This position will remain open until filled.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

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