At the Feugmo Research Group, we know diversity enables excellence in research and innovation. We are committed to a diverse and representative workforce, an open and inclusive work environment, and contributing to a more inclusive innovation system. We welcome all qualified applicants and encourages candidates to self-declare as members of the following designated employment equity groups: women, visible minorities, aboriginal peoples and persons with disabilities.
The Feugmo Research Group is currently accepting applications for the following positions.
Summer and Undergraduate students
Working in our research group is an excellent way to gain valuable rese and computing experience. Undergraduate students wishing to work in our group are encouraged to contact me. The following funding opportunities exist for undergraduate students in our group:
NSERC Undergraduate Student Research Award (USRA)
MITACS Globalink (for international students from India, Brazil, China and Mexico, UK, Germany..)
Graduate positions
Currently considering applications from graduate students. A completed online application is required for admission; application process start here.
There are several scholarship opportunities for both Canadian (including Permanent Residents) and international candidates. Students who hold OGS Scholarships from the Ontario Provincial Government, or NSERC PGS awards from the Canadian federal government, are eligible for top-up Awards. Useful links for prospective students:
NSERC scholarships (Canadian citizens or PRs)
Ontario graduate scholarships (Open to all)
Government of Canada International Scholarships (Open to all)
Vanier Scholarships (Open to all, requires University sponsorship, typically due beginning of September)
Commonwealth Scholarship and Fellowship Plan (Open to all)
MITACS: Accelerate, Elevate, Globalink
Current Research Positions
Available to travel between the universities and NRC-Mississauga for various research activities.
1-2 Graduate Students : Computational Chemistry/Materials science and Machine Learning starting in Sep 2023 and onwards:
Project 1: Novel electrochemical technologies for CO2 capture both from flue gas and air
Are you an aspiring student with knowledge of organic synthesis and looking for postgraduate studies on gaining the knowledge of AI machine learning and electrochemistry, developing the skills for materials synthesis, and tackling the issues related to the climate change? A Master student position is available at Feugmo’s research group to work on an exciting project in collaboration with National Research Council of Canada (NRC) at Mississauga Ontario. To reach the net zero target by the year of 2050, we focus on develop the novel electrochemical technologies for CO2 capture both from flue gas and air. The project focuses on DFT calculation as the guidance to discover promising materials for the direct air capture, synthesizing the promising redox molecules and testing their performance for direct air capture.
- Responsibilities
- The successful candidate will be under the supervision of Prof. Tetsassi working on Machine learning and DFT calculations to guide the design of the materials and synthesis the promising materials for direct air capture.
- The candidate will be able to travel between the universities and NRC-Mississauga for various research activities.
- The candidate will synthesize organic molecules at the lab of Prof Derek Schipper
- The candidate will learn the basic electrochemistry related techniques to evaluate the performance of the molecules for direct air capture at NRC.
- Canadians and permanent residents will be given priority
Project 2: Thermodynamic and Kinetic Modeling of Hydrogen Storage in High Entropy Alloys (HEAs) Materials.
- Primary fields: Phase-field Crystal modeling, reaction-diffusion modeling, Phase transition, High Entropy Alloys, Metal Hydride, Machine Learning
Project 3: Computational design of nanomaterial-based gas sensors for breath diagnosis
- Primary fields: Mixed metal oxides, Metal Oxide Semiconductor, 2D-Materials, density-functional theory , DFT + U Approach, Machine Learning
Project 4: Computational design of Inorganic solid electrolyte (ISE)
- Primary fields: Solid-state battery, Solid ionic conductivity, electron-insulating material, Lithium-ion battery, Amorphous materials, Microkinetic Modeling, density-functional theory, Machine Learning,Phase-field Crystal modeling ***
Postdoctoral researchers
Openings for postdoctoral researchers in our group are based on the availability of current funding. If you currently hold an NSERC or any other fellowship, and are interested in working in our group, please contact me.
AMTD Waterloo Global Talent Postdoctoral Fellowship
Provost’s Program for Interdisciplinary Postdoctoral Scholars
Provost’s Program for Black and Indigenous Postdoctoral Scholars
NSERC Postdoctoral Fellowships (Canadian citizens or Permanent Residents)
NSERC Industrial R&D Fellowships (Canadian citizens or Permanent Residents)
Commonwealth Scholarship and Fellowship Plan
Gilbert F. White Postdoctoral Fellowship
Banting Postdoctoral Fellowships (Open to all)
L’Oreal Canada for Women in Science Research Excellence Fellowships (Female Canadian citizens and Permanent Residents)
Postdoctoral fellowships for Japanese students to come to Canada
DFG’s Research Fellowships (to conduct a defined project at a location of their choice in a country other than Germany)
Current Positions
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Job Description : Computational design of catalyst for electrochemical reduction NOx and N2 and Electrochemical decomposition of NH3
- Required Qualifications
- Must be a recent PhD (or equivalent) in theoretical or computational physical science (chemistry, physics or materials).
- Experience in first principles calculations and
- Strong background in solid state physics
- Programming skills (e.g., Python, C++), and familiarity with Unix/Linux in high-performance computing environments
- Creativity and strong analytical and problem-solving skills
- Ability to conduct self-motivated research, critically assess results, and troubleshoot when necessary
- Excellent communication skills in technical writing, oral presentation, and interpersonal communication
- Team spirit in an environment with both computational and experimental collaborators
- Preferred Qualifications
- Expertise in electronic structure theory and density-functional theory ( VASP, Quantum Epresso..)
- Demonstrated ability to manage multiple research projects simultaneously
- Microkinetic Modeling, Machine Learning