Post Doctoral Researcher, Center for Clean Hydrogen

University of Delaware; Newark (DE); Vor Ort; USD 52.000 - 64.000; Vollzeit

Zusammenfassung

University of Delaware seeks a Postdoctoral Researcher to develop automated AI/ML workflows for the Center for Clean Hydrogen's Moonshot project in Newark, DE. The role integrates AI/ML with molecular simulation and autonomous laboratories to discover advanced anion exchange membranes with improved conductivity and durability.

You will build data pipelines, validate predictions with polymer chemistry insights, and help scale promising candidates to deployable devices while maintaining rigorous

Qualifikationen

• PhD by start date in one of the specified fields.
• Experience with Python programming, lab automation, and AI/ML for scientific applications.
• Exposure to polymers, membranes, or electrochemical characterization is a plus.

Aufgaben

• Develop automated experimental workflows, including instrument integration, data acquisition, and analysis.
• Integrate AI/ML models with experiments to predict material properties and guide candidate selection.
• Build reproducible data pipelines connecting experimental measurements, computational results, and shared project datasets.
• Collaborate with project partners to validate predictions and investigate relationships among polymer chemistry, structure, conductivity, and stability.
• Scale up promising candidates to deployable devices and maintain records and safety procedures.

Kenntnisse

Python

Lab automation

AI/ML for science

Active learning

Bayesian optimization

Scientific data infrastructure

Ausbildung

PhD in Chemical Engineering / Materials Science / Chemistry / Electrical Engineering / Mechanical Engineering / Computer Science

Tools

Robotics

Instrumentation control

Jobbeschreibung

Apply now Job no: 503975
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Research & Laboratory

Pay Grade: 90E

Context of Job:

The Postdoctoral Researcher will develop automated workflows integrating artificial intelligence and machine learning (AI/ML) for the Center for Clean Hydrogen's AEM Moonshot project. The project combines AI/ML, molecular simulation, and automated, self-driving laboratories to discover anion exchange membranes (AEMs) with improved hydroxide conductivity and chemical durability. Working with collaborators with expertise in polymer chemistry, computation, and membrane characterization, the researcher will connect laboratory automation with predictive models and intelligent experiment selection to build a closed-loop discovery platform that coordinates experiments, captures and analyzes measurements, and uses results to improve models and guide subsequent experiments.

Major Responsibilities:

• Develop automated experimental workflows, including instrument integration, data acquisition, and analysis.
• Integrate AI/ML models with experiments to predict material properties and guide candidate selection through active learning and uncertainty-informed decision-making.
• Build reproducible data pipelines connecting experimental measurements, computational results, and shared project datasets.
• Collaborate with project partners to validate predictions and investigate relationships among polymer chemistry, structure, conductivity, and stability.
• Work with project partners to scale up promising candidates to deployable devices.
• Maintain experimental records, document software and laboratory protocols, and prepare manuscripts for publication.
• Ensure proper use and maintenance of laboratory equipment, support student researchers, and follow applicable laboratory safety procedures.

Qualifications:

• Applicants should hold a PhD by the start date in chemical engineering, materials science, chemistry, electrical engineering, mechanical engineering, computer science, or a related field.

Relevant experience is welcomed in one or more of the following areas:

• Programming, particularly Python; laboratory automation; scientific instrumentation control; or AI/ML for scientific applications.
• Robotics, active learning, Bayesian optimization, molecular representations, or scientific data infrastructure.
• Polymers, membranes, or electrochemical characterization and analysis.

Environmental/Occupational Exposures:

• Laboratory work may involve chemicals and materials used in membrane preparation and characterization, as well as automated and electrochemical equipment.
• Personal protective equipment is required as appropriate to the experimental work and applicable laboratory safety procedures.

Special Requirements:

• Laboratory tasks require careful handling of instruments and research materials in accordance with established procedures.
• Work schedules may occasionally include evenings or weekends, depending on experimental timing.
• With or without assistance, must be able to lift up to 20 lbs to assemble components of automation equipment.

Notice of Non-Discrimination and Equal Opportunity

The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.