Postdoctoral Training Opportunity - Computer Science/Statistics/Applied Math, AI@Edge
The Northwestern University Argonne Institute for Science and Engineering (NAISE) is looking for a motivated and talented postdoctoral hire to explore strategies for continuous improvement of AI models that are developed and deployed at the edge. Conventional training is often static (training/verification/validation) then the model is deployed. Continual monitoring of performance at the edge requires collection of data, however, edge systems often have bandwidth constraints and thus any data collection should be optimized to improve the AI methods but also limit the transmission of data. The successful candidate will be working in a diverse and multidisciplinary team as part of the Sage CyberInfrastructure project that aims to underpin the nation's science infrastructure with state-of-the-art edge computing and intelligence fabric.
- Teamwork, the ability to work in large teams and tackle hard problems in a distributed version control environment.
- Computer science/applied math or statistics skills. Skills in advance analytical techniques such as ML/AI, computer vision, optimization. Either experience in or the ability to be able to learn (quickly) AI/ML frameworks such as Tensorflow or PyTorch.
- Natural curiosity.
- Adherence to excellent coding practice: Self documenting code, testing, git, GitHub, CI platforms (Travis, appveyor etc).
- Skill in dockerizing applications, scheduling, kubernetes, etc..
Interested candidates should send a CV and cover letter indicating the position for which they would like to be considered to Nicola Ferrier firstname.lastname@example.org by December 1, 2020 to ensure consideration. They will continue to review applications until the position is filled.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States.