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Research Associate-Fixed Term
Job Description
Details
Posted: 22-Aug-23
Location: East Lansing, Michigan
Salary: Open
Categories:
Academic/Faculty
Other - Academic/Faculty
Internal Number: 888991
Position Summary
The postdoctoral Research Associate will conduct research on machine learning for time projection chambers (TPCs) at FRIB
Develops machine learning techniques and software with the groups of Prof. Ravishankar in the CMSE Department and Prof. Liu in the CSE Department, supporting experimental groups (such as the research groups of Prof. Wrede and Prof. Bazin) working with TPCs in the FRIB Experimental Nuclear Science Division.
- Develops machine learning techniques and software to support research with TPCs at FRIB including GADGET II and AT-TPC
- Generally supports the experimental research programs with TPCs at FRIB including GADGET II and AT-TPC
- Performs other duties as required or assigned which are reasonably within the scope of the duties in this job classification
- Excellent communication skills to communicate effectively and credibly, both verbally and in writing with all audiences
- Proficiency with Microsoft Office Suites
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate -Nuclear Science or Computer Science
Minimum Requirements
- Ph.D. in Nuclear Science or Computer Science
- Experience in either Experimental Nuclear Science or Machine Learning
- High potential for excellence in research, as demonstrated through completed research projects and publications in peer-reviewed journals and/or computer science conference proceedings
- Excellent communication skills to present approaches, plans, and findings as evidenced by presentations at conferences, workshops, or other professional meetings
Desired Qualifications
- Solid knowledge of principles and techniques pertaining to nuclear science and experimental research, demonstrated by the preparation, execution, and analysis of experiments
- Demonstrated proficiency in the fields of mathematical modeling, big data analysis, and the design of algorithms and systems within the realm of machine learning and deep learning
- Experience with Time Projection Chambers
- Experience with Python and/or PyTorch and/or C++
Required Application Materials
Special Instructions
Review of Applications Begins On
09/18/2023
Website
https://frib.msu.edu/
MSU Statement
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.
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Spartans work every day to advance the common good in uncommon ways.Together, we tackle some of the world?s toughest problems to find solutions that make life better?from alternative energy to better food safety to breakthrough medical and environmental applications achieved through rare isotope research.We teach. We explore and we discover. We collaborate and lead. We innovate, inspire, and empower. We achieve our potential and create circumstances that help our students and others achieve theirs.We're good at it, and we've been at it for more than 150 years.The nation?s pioneer land-grant university, MSU began as a bold experiment that democratized higher education and helped bring science and innovation into everyday life. The revolutionary concept became a model for the nation.Today, MSU is one of the top research universities in the world?on one of the biggest, greenest campuses in the nation. Home to nationally ranked and recognized academic, residential college, and service-learning programs, we?re a diverse community of dedicated students and scholars, athletes and artists, scientists and leaders.In ways both practical and profound, we work to create a stronger, more sustainable, and more hopeful future for all.
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