Wallenberg-NTU Postdoctoral Fellow
Wallenberg-NTU Postdoctoral Fellow
locations
NTU Main Campus, Singapore
time type
Full time
posted on
Posted 12 Days Ago
job requisition id
R00024924
The Wallenberg-NTU Postdoctoral Fellowship is to bring outstanding young researchers, who have graduated from a Swedish university, to NTU for two years of postdoctoral research and studies. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education.
The fellow in this research project is required to:
- Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications.
- Conduct research on energy systems integration and sector coupling across electricity, heat, and fuels, including Power-to-X pathways (e.g., hydrogen and synthetic fuels).
- Design and apply advanced optimization and control methods, including model predictive control (MPC), data-driven approaches, and physics-informed models.
- Perform dynamic simulation and techno-economic and environmental assessment under real operating conditions and uncertainty.
- Investigate geothermal and hybrid renewable energy integration within multi-energy and process systems.
- Lead and manage research projects and work packages, ensuring the timely delivery of outputs and alignment with objectives.
- Prepare and contribute to competitive research proposals and funding applications.
- Supervise and mentor PhD, MSc, and undergraduate students.
- Collaborate with interdisciplinary teams and external partners from academia and industry.
- Disseminate research outcomes through high-impact publications, conferences, and technical reports.
Job Requirements:
- A PhD in Mechanical Engineering, Energy Engineering, Civil and Architectural Engineering, or a closely related field.
- Strong expertise in process systems engineering, energy systems integration, and thermal sciences.
- Knowledge of Power-to-X technologies, sector coupling, and sustainable energy systems.
- Experience in geothermal and hybrid renewable energy systems.
- Strong background in optimization, control, and system dynamics.
- Experience in modeling, simulation, and optimization of complex energy and process systems.
- Experience in applying AI and data-driven methods in engineering systems.
- Strong publication record and demonstrated research contributions in relevant fields.
- Proficiency in programming languages such as Python and MATLAB.
- Experience with system modeling tools such as TRNSYS, Modelica, or equivalent platforms.
- Strong analytical, problem-solving, and scientific communication skills.
- Ability to lead research activities and manage projects independently.
- Strong supervision and mentoring capabilities.
- Ability to work effectively in multidisciplinary and collaborative research environments.
- Familiarity with Information Theory (specifically entropy concepts) as applied to model confidence calibration.
We regret to inform that only shortlisted candidates will be notified.
Hiring Institution: NTU
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