Jefferson Lab is seeking to apply data science methods to relevant Jefferson Lab mission projects, focusing on developing and applying advanced data analytics to advance the laboratory's scientific objectives and regional scientific efforts.
Requirements
- Proficiency in Python and familiarity with publicly available technical libraries for data analytics (e.g. scikit-learn), deep learning (e.g. Pytorch, Tensorflow) and optimization tools.
- Ability to work with large datasets and mine relevant information for use in AI/ML applications.
- Demonstrated ability to develop approaches and solutions to complex problems in the forms of proposals, software, documents or other work products.
- Experience with ML/AI
- Peer-reviewed publication record in Data Sciences, Machine Learning or a closely related area.
Responsibilities
- Conduct technical research in areas of interest to the projects
- Develop and maintain high quality software for data science projects (machine learning & uncertainty quantify)
- Interact with internal and external researchers and domain scientists for collaboration purposes
- Participate and potentially lead technical presentations on the work
- Publish research results in highly visible, peer-reviewed venues (conferences & journals)
- Apply data science methods to relevant Jefferson Lab mission projects
- Develop and apply advance data analytics to advance the Jefferson Lab scientific objective and regional scientific efforts
Other
- Hybrid (combination of on and off-site work based on business needs)
- Must be able to work with a diverse group of subject matter experts
- Possess good communication skills
- Proactive, highly motivated self-starter with demonstrated experience with contributing and leading tasks on major projects with multi-disciplinary teams.
- Ability to clearly communicate and report the progress on tasks and projects.
