Postdoctoral Researcher - ML-Driven Process Optimization

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 60,000 - 75,000; Full time

Benefits offered by this job

Benefits package

Tuition benefits

Paid time off

Job summary

Carnegie Mellon University seeks a highly motivated Postdoctoral Researcher in Chemical Engineering to support data analysis, open-source tool development, and research objectives. This fixed-term position emphasizes collaboration with faculty and sponsors to advance process systems knowledge.

The role requires a Doctorate in Chemical Engineering or related field and 1–3 years of relevant experience. CMU offers comprehensive benefits and opportunities for professional growth within a world-class

Qualifications

• Doctorate degree in Chemical Engineering or related field.
• 1–3 years of experience in process systems engineering and/or bioprocess modeling.
• Combination of education and relevant experience may be considered.

Responsibilities

• Advance capabilities in optimization-based conceptual design for new process development.
• Develop open-source tools for training and optimization of machine learning surrogates.
• Interact with multiple faculty, industrial and federal sponsors; perform other duties as assigned.

Skills

Verbal communication

Written communication

Collaboration

Creativity

Education

Doctorate in Chemical Engineering

Job description

Carnegie Mellon University seeks a highly motivated Postdoctoral Researcher in Chemical Engineering to support data analysis, open-source tool development, and research objectives. This fixed-term position emphasizes collaboration with faculty and sponsors to advance process systems knowledge.

The role requires a Doctorate in Chemical Engineering or related field and 1–3 years of relevant experience. CMU offers comprehensive benefits and opportunities for professional growth within a world-class