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Postdoctoral Research Associate of Data Science
Job Description
Position Information
Position Information
| Present Position Number | F0758W |
|---|---|
| Role Title | Postdoctoral Research Associate |
| Position Title | Postdoctoral Research Associate of Data Science |
| Unit Mission Statement | Data Science is the study and application of methods that extract knowledge from frequently large, diverse sets of data. Data Science at W&M provides a novel learning environment. We push students beyond methods and towards critically considering the implications of big data and algorithms on our society. |
| Position Summary | The Department of Data Science at William & Mary, a public university of the Commonwealth of Virginia, invites applications for a postdoctoral research associate position that will begin September 25, 2023. We seek an individual with expertise in experimental medium energy nuclear physics and data science, machine learning. The selected candidate will collaborate on developing and implementing an AI/ML-based approach for online experimental control. The initial appointment is funded for two years, and appointment may be extended pending funding and performance. Our group engages in a multitude of activities, which include the continuous real-time tuning of the orientation of the Hall D diamond radiator for continuous tuning of the photon beam in GlueX/JLab, AI/ML for processing and analyzing streaming data, the design optimization of large-scale detectors and pioneering materials. The Data Science Program is also deeply involved in educational activities that help disseminating AI/ML, and we actively collaborate with the EIC community and with AI4EIC (https://eic.ai ). William & Mary has hosted the 2022 AI4EIC workshop and contributed to organize the first AI4EIC hackathon. The candidate will have the opportunity to collaborate in these educational activities. |
| Required Qualifications | A PhD is required at the time the appointment begins. Knowledge of C++/Python is also required |
| Preferred Qualifications | Experience with Reinforcement Learning and/or Deep Learning and/or Uncertainty Quantification and/or EPICS (or similar Control Systems) |
| Conditions of Employment | |
| Department | 3KEA10 Data Science |
| Location | William & Mary |
| Job Open Date | 06/27/2023 |
| Review Begin Date | 08/06/2023 |
| Job Close Date | |
| Open Until Filled | Yes |
| Job Category | Instructional Faculty |
| Special Application Instructions | Applicants must apply online at https://jobs.wm.edu . Submit (i) a curriculum vitae, (ii) a cover letter, (iii) a statement describing previous professional experience or future plans (or both) that demonstrate a commitment to diversity and inclusion. You will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions for how to submit a letter of reference. For full consideration, submit application materials by July 22, 2023. Applications received after the review date will be considered if needed. Questions about the position can be addressed to Cristiano Fanelli (cfanelli@wm.edu ). |
| Background Check Statement | William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check. |
| EEO Statement | William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities. |
| Benefits Summary Statement | William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program). Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to: https://www.wm.edu/offices/hr/currentemployees/benefits/index.php |
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