Postdoctoral Researcher AI/ML and Active Learning
Postdoctoral Researcher - AI/ML and Active Learning
Job Description
The AI, Learning, and Intelligent Systems (ALIS) group in the NREL Computational Science Center has an opening for a full-time postdoctoral researcher in machine learning (ML), with an emphasis on:
- Deep learning methods development,
- Probabilistic modeling,
- Active learning, and
- Application to materials discovery.
ML/AI and adaptive data acquisition continue to impact scientific research domains across the renewable energy space and are becoming increasingly important for scientific discovery. Research is needed at both fronts, fundamental developments of AI and sampling, and AI’s application to specific domain problems.
We are looking for a dynamic and motivated researcher with a strong technical background and broad experience in AI, in particular deep learning and probabilistic models as well as active learning for data acquisition.
The successful candidate will collaborate with NREL staff and researchers, and other national labs to develop, adapt, improve and scale AI algorithms to address problems arising in materials discovery in support of NREL and EERE mission and goals.
Job duties include:
· Collaborate with NREL researchers to design and implement scalable AI algorithms and their deployment on HPC systems.
· Deploy AI and active learning algorithms for materials discovery.
· Author, present and assist in the preparation of technical papers, reports and conference proceedings on topics related to AI, active learning, materials discovery, and its applications on HPC.
Basic Qualifications
Must be a recent PhD graduate within the last three years.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
· Demonstrated expertise with deep learning and active learning
· Demonstrated experience in working with large multi-disciplinary teams
· Excellent written and verbal communication skills
· Demonstrated experience working on high-performance computers
· Strong interest in NREL’s mission
Preferred Qualifications
· Demonstrated software engineering experience
· Experience in materials science