Job Listing
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| Job ID: 14019639 |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Post-Doctoral Associate - Coughlin Research |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job ID360471
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9546
Employee ClassAcad Prof and Admin
About the Job
\Research Description
The University of Minnesota-Twin Cities invites applications for a post-doctoral fellow in the field of multi-messenger astronomy with Prof. Michael Coughlin. The appointment start date is September 1, 2024, with some flexibility. The appointment is for one year, with possibility of annual renewals up to 3 years. The research would focus on searches for gravitational waves with the Laser Interferometer Gravitational-wave Observatory (LIGO), as well as optical counterparts with the Zwicky Transient Facility, a time-domain optical survey to study the transient night sky photometrically. Specifically, we are seeking those interested in work on machine learning, participating in our analysis of ground-based telescope and gravitational-wave data to study multi-messenger, transient objects by building machine learning pipelines in coordination with frontend Javascript/React.js interfaces.
This work is in the context of the National Science Foundation's Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute, a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery. The Institute team reflects a collaborative effort of Principal Investigators from Caltech, Duke University, MIT, Purdue University, UC San Diego, University of Illinois at Urbana-Champaign, University of Minnesota, University of Washington, and University of Wisconsin-Madison. Successful participation in these projects will involve collaboration with science teams in gravitational-wave and optical time-domain physics, as well as with research partners in computer science, electrical and computer engineering, and mathematics. Post- baccalaureate scholars will build strong portfolios of work demonstrating capabilities in AI and data science for large scale physics projects.
Job Duties
Primary duties include the following:
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 partic-ipating 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.
Qualifications
Required:
Required. PhD in Computer Science, Statistics, Mathematics, Physics, or other applicable discipline by beginning date of appointment.
Preferred:
0-2+ years' relevant work experience.
Demonstrated skills (or ability to learn quickly) in any of the following: programming (especially Python), data science, machine learning, and statistics.
Strong written and verbal communication skills.
Strong collaboration skills.
Strong desire to learn new computing platforms.
About the Department
See more about the School of Physics and Astronomy: https://cse.umn.edu/physics
Benefits
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
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Employer-paid life insurance
Employee wellbeing program
Public Service Loan Forgiveness (PSLF)
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
with free or reduced rates in the Twin Cities metro area
Please visit the for more information regarding benefits.
How To Apply
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
Diversity
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:
Employment Requirements
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.
About the U of M
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... For full info follow application link.
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.
Refer to ID 78941751 when applying |
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