Job Listing
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| Job ID: 13960829 |
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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 - Machine Learning Techniques - Astrophysical Problems ( |
| 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 ID359914
LocationTwin Cities
Job FamilyAcademic
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9546
Employee ClassAcad Prof and Admin
About the Job
Research Description:
A postdoctoral appointment in the application of machine learning techniques to
several astrophysical problems at the University of Minnesota. Projects include i)
analysis and interpretation of individual stars and supernovae highly magnified by
foreground cluster lenses using the Hubble Space Telescope, JWST, and
ground-based data, ii) preparation for time-domain observations, including of Type
Ia supernovae, with the Nancy Grace Roman Space Telescope, and iii)
development of simulations of galaxy populations for the Nancy Grace Roman
Space Telescope Galaxy Redshift Survey.
Job Duties
30% Measurement of star formation histories of arcs strongly lensed by foreground
galaxy clusters from photometry obtained using machine learning, and
AI-facilitiated simulations of microlensing.
30% Responsibility for modeling the galaxy populations required for the Roman
simulations for the Roman Galaxy Redshift Survey PIT.
30% Development of transient detection software with the Roman Supernova PIT,
including Siamese neural networks.
10% Attending collaboration meetings, seminars and conferences
Communicating research to the broader community
Writing papers and submitting them for publication in scientific journals
Presenting results at conferences (both domestic and international)
The above statements are intended to describe the general nature of the work being
performed by people assigned to this job. They do not comprise an exhaustive list
of all duties and responsibilities associated with it.
Other duties of a similar scope as assigned.
Qualifications
Required:
Candidates should have a Ph.D. as well as experience with data analysis.
Preferred:
Experience with interpretation of imaging, as well as gravitational lensing and/or
transient astronomy, and machine learning.
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
The position is open effective immediately.
Applications will be accepted until the position is filled.
Please provide in a single pdf:
Applications, including the following
1. Cover letter
2. Curriculum vitae
3. Brief description of research interests,
4. Reference list with contact information
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.
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 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).
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 78493805 when applying |
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