Postdoctoral Scholar-Fixed Term
About The Position
The Postdoctoral Scholar will conduct research and development involving software and hardware for scientific data acquisition systems (DAQ) and machine learning models. The role supports the FRIB Scientific Experimental program by developing machine learning approaches to speed up and optimize the extraction of scientific results. The scholar will disseminate research through peer-reviewed publications and presentations at conferences and workshops. They will work within and foster Laboratory-wide policies, procedures, and standards; contribute to a safe IT environment and a welcoming Laboratory environment; and provide FRIB Laboratory employees and users with technical support for data acquisition and analysis. The scholar may also perform other duties reasonably within the scope of the classification. A PhD in Physics or a related field is required, along with experience in object-oriented programming and languages such as C, C++, and Python. Candidates must be able to carry out independent and original research, demonstrate written and oral communication skills, and be able to work with export-controlled technologies. Experience supporting nuclear physics experiments is desired.
Requirements
- PhD in Physics or a related field.
- Experience in object-oriented programming and programming languages such as C, C++, and Python.
- Ability to carry out independent and original research, demonstrated by published works in refereed journals and/or conference proceedings.
- Demonstrated written and oral communication skills, evidenced by published works and presentations at conferences, workshops, scientific outreach, and other professional meetings.
- Ability to work with export-controlled technologies.
- Working knowledge of programming and experience using C/C++ and Python.
- Demonstrated ability to learn new programming languages.
- Working knowledge of Linux and understanding of networks.
- Working knowledge of maintenance software such as Git.
- Experience with machine learning models for advanced data analysis.
- Ability to problem-solve and demonstrate critical thinking skills for software problems.
- Ability to work independently and as part of a team.
- Excellent verbal and written communication skills to communicate effectively and credibly with all audiences.
Nice To Haves
- Experience supporting nuclear physics experiments.
Responsibilities
- Conduct research, design, and development of Scientific Data Acquisition (SDAQ) systems.
- Research and develop machine learning models relevant to the FRIB Scientific Experimental program to speed up and optimize extraction of results.
- Disseminate research outcomes through peer-reviewed publications and presentations at conferences and workshops.
- Work within and foster Laboratory-wide policies, procedures, and standards.
- Contribute to a safe IT environment and a welcoming environment at the Laboratory.
- Provide FRIB Laboratory employees and users with technical support for data acquisition and analysis for their scientific endeavors.
- Perform other duties as required or assigned that are reasonably within the scope of the job classification.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
