Our list of interesting research ideas to explore (in the waiting list because of our limited time) is growing exponentially. For this reason, Master & Bachelor Projects in Chemistry, Physics, Mathematics and Computer Science are always available. Feel free to make an appointment with any of the staff members to discuss the different possibilities, which span from more formal 'pen&paper' projects to programming and testing new ideas. Check our Research Team page for possible projects, and do not hesitate to propose your own ideas for discussion.

We are also looking to highly motivated students and postdocs to join our team and work on the development of Machine Learning methods for Scientific discovery. For more information about research oportunities and informal enquires please contact directly the professor you would like to work with.

PhD positions
Several PhD positions are available at the University of Ottawa for candidate interested in developing Artificial Intelligence methods at the interface of Physics, Chemistry, Mathematics and Medicine. We strongly encourage highly motivated students in mathematics, quantum physics, computer sciences, engineering, theoretical and computational chemistry to contact us to discuss project possibilities. Exceptional undergraduate students can be admitted directly to a PhD program.

Candidates are invited to apply by email via the address AI4Science@uottawa.ca with subject “PhD Quantum 2022”, “PhD Math 2022” or “PhD Chemistry 2022”. The application package should include the following documents as attachment in a single pdf file:

1) CV;
2) Motivation letter explain why you want to earn a Ph.D. at AI4Science @uOttawa;
3) Unofficial transcripts of all of your university studies (BSc, MSc), as well as a translation into English.
4) A list of at most three referees, willing to write a letter of recommendation.

Selected candidates will be requested to have their referees send a letter of recommendation directly to us, and will be invited for an online interview. Applications will be evaluated in a first-come, first-served basis. The position will remain open until the appropriate candidate is hired.
Postdoctoral Position in Mathematics of Machine Learning at uOttawa and MaLGA (Genoa)
Candidates are expected to have experience or interest in developing a research program in Mathematics of Machine Learning, including optimization methods for machine learning, optimal transport, deep learning methods solving high-dimensional (and possibly infinite-dimensional) partial differential equations and machine learning methods for scientific discovery. They are expected to have obtained a PhD degree by the beggining of the appointment.

Candidates are invited to apply by email via the address CRCAIMathChe@uottawa.ca with subject “Postdoc MaLGa-Ottawa 2023”. The application package should include the following documents as attachment in a single pdf file:

1) Cover Letter;
2) CV with list of publications;
3) Research statement on current and planned research (max 5 pages);
4) A list of at most three referees, willing to write a letter of recommendation.

Selected candidates will be requested to have their referees send a letter of recommendation directly to the search committee, and will be invited for an online interview. Applications will be evaluated starting from November 30th. The position will remain open until the appropriate candidate is hired.
The selected candidate will perform research at Machine Learning Genova Center in Italy (one year), under the supervision of Simone Di Marino and Lorenzo Rosasco, and at the University of Ottawa (one year), under the supervision of Augusto Gerolin.

PhD and Postdoctoral positions in the Ottawa-Queen's-McMaster-Guelph Research Network
The Ottawa-Queen's-Guelph-McMaster (OQGM) research network develop a novel multidisciplinary and integrated approach to address the problem of strong correlation in Chemistry and Material Sciences and aims to design new tools that are computationally efficient and easy enough for nonspecialists to use to guide their research and enrich their understanding. See details at the Research Network webpage.

We are looking for talented candidates to join our research team, including:

-- One PhD student in Mathematics: potential candidates are expected to have experience or interest in conducting research on Calculus of Variations, Optimization, Mathematical Physics, Numerical Linear Algebra and/or Optimal Transport.

-- One PhD student in Physics/Engineering: potential candidates must have a strong background in quantum mechanics and/or scientific computing. She/he/them should be motivated to learn state-of-art methods in computational chemistry and to develop deep learning methods for quantum chemistry.

-- One Postdoctoral Researcher in Computational Chemistry or AI: potential candidates are expected hold a PhD in Chemistry, Physics or Computer Sciences, have interest in developing AI methods for Chemistry, and a strong background in Computational Chemistry and/or Deep Learning.

Candidates are invited to apply by email via the address CRCAIMathChe@uottawa.ca with subject “PhD Math OT-RDMFT 2022”, “PhD Phy OT-RDMFT 2022” or “Postdoc OT-RDMFT 2022”. The application package should include the following documents as attachment in a single pdf file:

1) Cover Letter;
2) CV with list of publications;
3) Postdoc position: Research statement on current and planned research (max 5 pages);
3') PhD position: Transcript of records and a brief description of research interest;
4) A list of at most three referees who are willing to write a letter of recommendation.

Selected candidates will be requested to have their referees send a letter of recommendation directly to the search committee, and will be invited for an online interview. Applications will be evaluated starting from October 15th. The position will remain open until the appropriate candidate is hired.
The young researchers will perform a highly collaborative and interdisciplinary research, co-supervised by the entire research team. The PhD students and postdocs are expected to travel during the year between Ottawa, Queen's, McMaster and Guelph to attend the events and work together with the PIs and co-PIs.