Post Doc Res Assoc

About the role

The Postdoctoral Research Associate will conduct applied and fundamental research in energy systems engineering, with an emphasis on industrial energy systems, energy management, techno-economic analysis, modeling, simulation, optimization, and advanced control. The position will play a key role in a major collaborative research effort focused on improving the energy and economic performance of advanced manufacturing operations.

Responsibilities

• Lead the development and implementation of energy management strategies for industrial and advanced manufacturing facilities, including energy and resource benchmarking, performance monitoring, identification of energy-efficiency opportunities, and development of long-term energy management plans.
• Conduct comprehensive techno-economic analyses of manufacturing processes and facilities, including equipment and process evaluation, capital and operating cost analysis, return-on-investment analysis, sensitivity and uncertainty analysis, process optimization, and evaluation of manufacturing scale-up pathways.
• Develop and apply computational models, simulations, optimization methods, and data-analysis tools to evaluate the performance of industrial processes and complex energy systems.
• Conduct research in areas such as industrial energy systems and decarbonization, hydrogen and electrochemical systems, renewable and nuclear energy systems, energy storage, buildings and district energy systems, smart-grid applications, process systems engineering, advanced control, and artificial intelligence/machine learning for energy applications.
• Analyze experimental, operational, and simulation data; develop performance metrics; identify opportunities for system improvement; and translate research findings into actionable engineering recommendations.
• Prepare peer-reviewed journal publications, conference papers and presentations, technical reports, project deliverables, and other research communications.
• Mentor and supervise graduate and undergraduate students, including providing technical guidance on research methods, modeling and simulation, data analysis, technical writing, and presentation of research results.
• Collaborate with faculty, students, industry partners, national laboratories, government agencies, and other university researchers on multidisciplinary research projects.
• Contribute to the development of research proposals, project plans, scopes of work, and new research initiatives, including identifying opportunities for externally funded research.
• Assist with project management and coordination, including tracking research milestones and deliverables, documenting methods and results, communicating technical progress, and coordinating activities among project participants.
• Develop and maintain research software, computational tools, models, datasets, and other research infrastructure needed to support ongoing and future projects.
• Perform other research, mentoring, technical, and scholarly activities that support the mission and research portfolio of the research group.

Qualifications

Minimum: Ph.D. in Mechanical Engineering, Chemical Engineering, Systems Engineering, Industrial Engineering, or a closely related engineering or technical discipline.

Preferred: The ideal candidate will have a strong interest in pursuing a future tenure-track academic career. This position is particularly well suited for an individual who wants to develop the research, publication, mentoring, proposal-development, and leadership experience needed to become a successful independent faculty member. The faculty supervisor is committed to actively mentoring a postdoctoral researcher with these career aspirations and to providing opportunities for increasing research independence, student mentorship, scholarly publication, proposal development, and development of an independent research portfolio.

Skills

• Research experience in energy systems, industrial energy, advanced energy technologies, or related areas.
• Experience with process and energy system modeling and simulation.
• Experience conducting techno-economic analysis (TEA), including cost modeling, economic evaluation, sensitivity analysis, and/or assessment of emerging technologies and manufacturing processes.
• Experience with life cycle assessment (LCA) is highly desirable.
• Experience with mathematical optimization, including optimization of energy, process, or manufacturing systems, is a plus.
• Experience with dynamic modeling and simulation, process control, or model-based analysis is a plus.
• Experience with industrial automation, manufacturing systems, data acquisition, or related technologies is a plus.
• Strong quantitative, computational, and analytical skills and the ability to learn and apply new modeling and analysis methods.
• Demonstrated ability or strong potential to publish high-quality peer-reviewed research and communicate technical results effectively.
• Interest in mentoring and supervising graduate and undergraduate researchers and working collaboratively within multidisciplinary research teams.
• Ability to work independently, take intellectual ownership of research activities, and contribute to the development of new research ideas, publications, and proposals.

Pay

$70,000 - $82,000

Schedule

Monday – Friday, 8-5pm