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 capture, utilization and storage (CCUS). This will involve the development of a large database of process parameters for different NET systems; the development of Python models to represent NET systems; and the validation of computational model results using peer-reviewed literature and an understanding of engineering fundamentals.
These open-source models will be integrated into several large-scale network optimization models of the Canadian energy system that the APEX group is developing. Together, these models will support decisions on where to deploy Negative Emissions Technologies (NETs, like direct air capture of CO2 (DAC) and carbon capture, utilization and storage (CCUS)) to minimize grid energy requirements and maximize renewable energy use. The overall goal of this research is to guide successful near-term deployment of these technologies. This research is part of a six-year grant supported by Environment and Climate Change Canada (ECCC). As such, the PhD candidate will have the opportunity to brief ECCC and other government and industry stakeholders on the results of the research and modeling efforts.
We are looking for a candidate with a bachelor’s or master’s (preferable) degree in chemical engineering, mechanical engineering, industrial engineering, energy systems engineering, or related fields. In particular, the following requirements apply:
- Strong understanding of separation processes (solvent-based absorption and sorbent-based adsorption) and interest in deepening that understanding.
- Proven experience with process modeling software, such as Modelon or Aspen HYSYS
- Proven experience with Python coding
- Experience with algebraic modeling languages such as Pyomo, GAMS, or AMPL is considered a plus
- Proven ability to independently conduct research
- Proven ability to work individually as well as part of a team
- Excellent communication and writing skills
- Foreseen starting date: September 2022 (negotiable)
- Location: Ottawa, ON, Canada
How to apply
Applications should include:
- A resume, highlighting academic achievements including publications, if applicable
- A motivation letter with a description of research interests and skills (2 pages max)
- An unofficial transcript
- The name of two references, their current position and relationship to the applicant
To ensure full consideration, candidates should apply by June 30, 2022 although the position will remain open until filled. To submit your application, or for more information concerning this position, please email Dr. Ahmed Abdulla (email@example.com).
We appreciate all applicants' interest, though only those selected for further consideration will be contacted for an initial, short interview. Candidates should be prepared to share past examples of code or process models and discuss the fundamentals of separation processes during the interview.