Post-Doctoral Researcher, Energy & AI - Electrochemical Safety Research Institute
UL Research Institutes
Summary
The Post-Doctoral Researcher, Energy & AI performs independent research in preparation for a career as a scientific professional, contributing to and advancing battery research of Electrochemical Safety. This is a 2-year term position, eligible for renewal based on performance.
Job description
What you'll learn and achieve
- Conducts primary research at the intersection of energy storage, artificial intelligence, and advanced computational science by applying scientific principles, physics-based modeling, machine/deep learning, digital twins, and high-performance computing to address complex technical challenges.
- Applies knowledge of scientific principles to the specific research tasks.
- Exercises a high degree of judgment in formulating, evaluating, and correlating broad research concepts, guiding the analysis of unique problems, and developing new and improved techniques and methods.
- Assume primary responsibility for development of independent research.
- Assist with data collection, evaluations, and support researchers on projects; analyze results.
- Plan, design and complete initial and follow up procedures as needed to test and validate results.
- Perform research to a high standard and in accordance with all institutional and federal regulations.
- Collaborate with ULRI colleagues and universities.
- Contribute to and participate in webinars, conference presentations, writing papers for journal publications, facilitate training programs.
What makes you a great fit
- Proven ability to perform independent research and support publication.
- Demonstrated general knowledge of scientific disciplines in energy systems, physics-based modeling, ML/DL, control systems, data science, digital twins, and high-performance computing.
- Demonstrated ability to maintain academic and applied knowledge and skills.
- Ability to collaborate with peers and work directly with other team members and external collaborators in order to complete a project from start to finish.
- Excellent report, publication, presentation and general communication skills required.
Professional education and experience requirements
- Ph.D. in computer science, materials science and engineering, and related engineering conferred within three years of application or completion of Ph.D. requirements by commencement of appointment.
- Experience working in an AI or data science lab required.
Requirements
- Ph.D. in computer science, materials science and engineering, or related engineering conferred within three years of application or completion of Ph.D. requirements by commencement of appointment.
- Experience working in an AI or data science lab required.
- Proven ability to perform independent research and support publication.
- Demonstrated general knowledge of scientific disciplines in energy systems, physics-based modeling, ML/DL, control systems, data science, digital twins, and high-performance computing.
- Demonstrated ability to maintain academic and applied knowledge and skills.
- Ability to collaborate with peers and work directly with other team members and external collaborators in order to complete a project from start to finish.
- Excellent report, publication, presentation and general communication skills required.
Benefits
- Bonus compensation
- Medical, Dental & Vision
- Life insurance
- 401(k) matching up to 5%
- Additional 4% retirement contribution
- Paid time off
- Vacation, holiday, sick days
- Volunteer days
- Flexible working arrangements
Company overview
UL Research Institutes is a leading independent safety science organization with global reach, established in 1894 as part of the UL enterprise. Dedicated to exploring vital questions related to public safety, the organization senses and acts on risks to humanity and our planet through rigorous scientific research. As one of three distinct organizations within the UL enterprise alongside UL Solutions and UL Standards & Engagement, UL Research Institutes focuses on discovery-driven investigations across multiple scientific disciplines. The organization conducts research in electrochemical safety science, fire science, chemical and environmental safety, data science, and emerging technologies. Their work supports the development of practical safety standards and policies while addressing urgent safety problems including environmental pollution, artificial intelligence inequities, and sustainable technology deployment. With a global network of scientists and safety professionals, UL Research Institutes defines the safe and sustainable use of materials ranging from legacy devices to new technologies, advancing safety science for the greater good through objective, evidence-based research.