47 phd-power-system research jobs at Argonne

Postdoctoral Appointee for Large Language Models (LLM) and complex systems

Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing

Postdoctoral Researcher – Nuclear Incident Response

: This level of knowledge is typically achieved through a formal education in nuclear engineering or energy science, or a related field at the PhD level with zero to five years of employment experience

Postdoctoral Research Associate - Machine Learning in High Energy Physics

The candidates must have received a PhD degree in computer science, computer engineering, data science, high energy physics, or a related discipline within five years of the start of the appointment Experience

Postdoctoral Appointee - MSD - Modeling of Neutral & Charged Polymeric Materials

Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in our Material Sciences Division. This postdoctoral position is for modeling of neutral and charged polymeric materials

Postdoctoral Researcher

with other degrees but have similar skills to those listed will be considered). Skilled oral and written communication skills at all levels of the organization. Proven track record showing the ability

Postdoctoral Appointee - NST - Experimental X-ray and Electron Characterization Data

, materials science, chemical engineering, or a related field is required. Excellent communication and analytical skills are required Software programming experience is necessary Ability to work independently

Postdoctoral Appointee - Nuclear Material Characterization and Analysis

with micromechanical testing is a plus. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork. To perform the essential functions of this position successful applicants

Postdoctoral Appointee: Critical Materials and Manufacturing

engagement with stakeholders from communities, government, and private institutions. The candidate must demonstrate the ability for convergent thinking and systems analysis that draws from a variety of fields

Postdoctoral Appointee – Machine Learning for X-ray Science

the scientific discovery process by quickly extracting useful information from vast quantiles of data, and by providing feedback to the experiment system enabling autonomous control and steering. New fast data

Postdoctoral Appointee - Electro-catalysis for CO2 conversion

to value added chemicals. This position will involve a joint appointment with the Energy Systems and Infrastructure Analysis (ESIA) Division, and the Chemical Sciences and Engineering (CSE) Division