Postdoctoral Researcher
The Environment, Biology, Nuclear Science & Nonproliferation Directorate conducts fundamental research and develops technology to enable the transition to a secure, sustainable and resilient net-zero society.
The postdoctoral position will conduct research on state-of-art AI models with the specific goal to improve geospatial imagery analysis.
Essential Duties and Responsibilities:
- Conduct independent research
- Report on results of the research in form of presentations, publications
- Develop and test AI models
- Innovate on different AI architectures
- Integrate AI models with other software tools
- Develop, test and implement data pipelines
Required Knowledge, Skills, and Abilities:
- Required PhD in geosciences, computer science, engineering or related field
- Proven research record in geospatial AI as evidenced by publications
- Expertise with development of AI models
- Hands-on programming expertise
- Explainable, ethical AI
- Knowledge about vision transformers, self-supervised learning
- Broad familiarity with geospatial programming libraries
Preferred Knowledge, Skills, and Abilities:
- Non-LLM foundation model expertise
- Time Series Foundation Models
- Expertise with Graph transformers
- Knowledge with multi-modal masked auto encoders
- Expertise in developing larger-scale AI models (SLURM)
Other Information:
- Position is location onsite in Upton, NY
- BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events.
- Candidates must have completed all degree requirements by the commencement of the employment.
- Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $74050 - $79500 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group.
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