Postdoctoral Research Associate|Machine Learning/Artificial Intelligence for Additive Manufacturing
About The Position
This PostDoctorate Research Associate (PDRA) role is primarily focused on the independent technical delivery of and leadership in the development of projects/activities related to ML/ AI in AM within CAAAM. The PDRA will work with faculty across various departments with an interdisciplinary approach to AM. The primary responsibility of this position is to develop digital manufacturing capabilities using ML/ AI learning approaches in AM. The PDRA will provide solution concepts and develop, integrate and implement data driven approaches (experimental dataset physics based model dataset) to achieve process optimization, defect prediction and property prediction in various AM processes. The additional specific capabilities highly desired of the candidate include but not limited to: experience in ML/ AI approaches, application of ML/AL in image processing, reasonable understanding of science/physics and engineering of AM processes for metallic systems, knowledge and experience in heat transfer/fluid dynamics/structural mechanics through the applications of computational and statistical methods. The position is also expected to provide technical expertise and support to graduate and undergraduate students, assist/lead preparation of research proposals and scientific/technical papers and presentations.
Requirements
- Earned doctorate in mechanical engineering or materials science and engineering or physics or a related discipline with a research focus on ML/ AI in materials processing/manufacturing.
- Record of publications related to Machine Learning/Artificial Intelligence for Additive Manufacturing.
Nice To Haves
- Applicants that demonstrate aptitude and experience in interdisciplinary collaborations will be a plus.
Responsibilities
- Conduct experiments, gather data, document research notes, code and analyze data, interpret data.
- Prepare manuscripts for publications in a timely manner and talks and posters for presentation at group meetings and conferences.
- Assist with reporting of research progress to funding agencies.
- Keep up with historical and latest research data and publications.
- Stay up-to-date with all trainings, and federal, state, university and department requirements.
Benefits
- Competitive compensation commensurate with qualifications, experience, and discipline, in accordance with university guidelines and available funding.
- Retirement plan eligibility (ORP Eligible).
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
