The APEX research group has several open research positions for PhD students and postdoctoral fellows. Please contact the listed faculty member if you believe your profile makes you a good fit for one of the positions below.
We especially encourage applications from underrepresented groups, including indigenous persons, women, visible minorities, disabled persons, and persons of all sexual orientations and gender identities.
Thursday, May 26, 2022
PhD position in the modelling of separation processes and negative emissions technologies
A PhD position in the modelling of separation processes and negative emissions technologies is open in the Alternative Pathways for the Energy Transition (APEX) laboratory at Carleton University. The PhD candidate will develop open-source process models of negative emissions technologies (NETs), like direct air capture of CO2 (DAC) and carbon...
Tuesday, May 24, 2022
Postdoctoral Position in Power and Energy Systems Planning, Large-scale Network Optimization
A post-doctoral position in operations research / large-scale network optimization / power and energy systems planning is open in the Alternative Pathways for the Energy Transition (APEX) laboratory at Carleton University. The Position The postdoctoral researcher will contribute to the development of several network optimization models of the...
Thursday, July 1, 2021
Electrofuel process modelling for the low-carbon transition
A PhD position in electrofuel process modelling is open in the APEX lab at Carleton University in Ottawa, Ontario, Canada. This NSERC-funded position is part of a research program that aims to integrate electrofuel production processes (hydrogen, synthetic natural gas, and synthetic fuels) in large-scale models of the energy system. The ideal...
Sunday, May 16, 2021
Physics-informed deep learning for wind power
A PhD position in physics-informed deep learning for wind power is open in the APEX lab at Carleton University in Ottawa, Ontario, Canada. The ideal candidate will have experience in one, or more, of the following areas: Deep learning, auto-encoders, anomaly detection Numerical Weather Prediction (NWP) modeling, Computational fluid dynamics Wind...