Wallenberg-NTU Postdoctoral Fellow
On-site · Singapore, Singapore
Job Summary
Postdoctoral Fellow focused on developing and implementing advanced process and energy system models for low-carbon, net-zero energy applications at NTU Singapore. Responsibilities include conducting energy systems integration research across electricity, heat, and fuels (Power-to-X), designing and applying optimization and control methods (including MPC and data-driven/physics-informed models), performing dynamic simulation and techno-economic/environmental assessments, investigating geothermal and hybrid renewable energy integration, leading research projects and supervising students, and disseminating findings through high-impact publications and conferences. Requires a PhD in a related engineering field, strong expertise in process systems engineering and energy systems integration, knowledge of Power-to-X technologies, experience with optimization and control, programming with Python/MATLAB, and proficiency with TRNSYS/Modelica or equivalent tools, along with demonstrated research contributions and collaborative, analytical skills.
Required Qualifications
- 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
Desired Qualifications
- A PhD in Mechanical Engineering
- A PhD in Energy Engineering
- A PhD in Civil and Architectural Engineering
- A PhD in a closely related field
- Strong expertise in process systems engineering
- Strong expertise in energy systems integration
- Strong expertise in thermal sciences
- Knowledge of Power-to-X technologies
- Knowledge of sector coupling
- Knowledge of 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
- Proficiency in Python
- Proficiency in MATLAB
- Experience with TRNSYS
- Experience with Modelica
- 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 (entropy concepts)
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