Post-Doctoral Associate - LIGO (Coughlin)

Job Description
Based on a joint NSF-DFG research project, the University of Minnesota-Twin Cities and the University of Potsdam invite applications to fill up to two postdoctoral positions. The positions are connected to the research groups of Prof. Michael Coughlin in Minnesota and Prof. Tim Dietrich in Potsdam. Applicants should indicate if they prefer to work in Potsdam or Minnesota or if they want their application considered for both places. The research project will focus on the development of searches and low-latency data products for gravitational waves with the Laser Interferometer Gravitational Wave Observatory (LIGO). Specifically, we are seeking those interested in work participating in our analysis of gravitational-wave data in support of electromagnetic counterpart searches to study multi-messenger transient objects with low-latency pipelines.

We are looking for a candidate with a PhD in Computer Science, Statistics, Mathematics, Physics, or another applicable discipline related to the research outlined above. The candidate must have programming knowledge (especially python), and, ideally also, experience in data science, machine learning, or statistics. Strong written and verbal communication skills, collaboration skills, and the desire to learn new computing platforms are mandatory.

The deadline for full consideration is November 1, 2024, including reception of reference letters. The start date of the positions is negotiable. For the application, you will be asked to upload a single PDF containing a cover letter, your curriculum vitae, your list of publications, and a (up to 3-page) statement of past and future research activities. Applicants will need to indicate the names of three referees for recommendation letters. Referees will receive an email with instructions on how to upload their letters.

Job Duties
50%: Research in the development and application of machine learning (ML), AI, and data science algorithms for physics research projects and applications and interfaces for ML and AI algorithms in physics analysis code.
20% Supervision of graduate students, technicians, and undergraduates participating in this research
20%: Communicate and coordinate with other personnel involved in the research, including those from non-computing disciplines.
10%: Research in a related discipline of interest to the post-doctoral fellow.
Other duties of a similar scope as assigned.

Required Qualifications:
PhD in Computer Science, Statistics, Mathematics, Physics, or another applicable discipline

Preferred Qualifications
Previous experience in time-domain astronomy and data science algorithms

See more information about the School of Physics and Astronomy: https://cse.umn.edu/physics

Working at the University

At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.

The University also offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost
• Employee Transit Pass with free or reduced rates in the Twin Cities metro area

Please visit the Office of Human Resources website for more information regarding benefits.

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

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

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

The position is open effective immediately. Applications will be accepted until the position is filled.

Please provide:

-- A cover letter explaining why you are interested and qualified for the position

-- Curriculum vitae including recent publications and experimental and analysis skills

-- A statement of research experience and interests (1-2 pages)

-- Names and complete contact information for three references.

Additionally, have three letters of reference sent to:

Professor Michael Coughlin
School of Physics and Astronomy
University of Minnesota
116 Church Street SE
Minneapolis MN 55455
cough052@umn.edu

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).