Postdoctoral Position - McGill University, Canada
We invite applications for a postdoctoral research position, for one year (renewable for a second year) in the topic of low-code development guided by intentions. This position offers the opportunity to work at the intersection of Software Engineering and Artificial Intelligence (AI), focusing on the formal modelling and generation of AI pipelines.
Research Focus
Researchers across numerous scientific domains are exploiting AI and Machine Learning (ML) in their research. Unfortunately, building efficient AI/ML pipelines to analyze domain specific data remains challenging, notably because it requires researchers to develop a strong expertise both in programming and AI concepts. The goal of this postdoctoral research is to improve the efficiency and accessibility of AI pipeline development, by developing a low-code approach to describe and generate AI pipelines which can be tailored to specific domains.
Responsibilities
- Analyze and model AI pipelines from different research domains.
- Identify and formalize common and variant features of these pipelines.
- Develop a low-code solution that allows for the automated generation of AI pipelines.
- Collaborate with researchers from various fields to validate the solution.
Qualifications
- Ph.D. in a related field (e.g., computer science, AI).
- Experience in modelling, AI pipeline development, and/or low-code development.
- Strong analytical and problem-solving skills.
Practical information
- The selected candidate will work under the supervision of Jessie Galasso (McGill University) and Houari Sahraoui (Université de Montréal), in collaboration with Ulrich Aïvodji (ÉTS) and Foutse Khomh (École Polytechnique de Montréal), in Montréal, Canada.
- The position is available immediately, with an ideal start in January 2025.
- Candidates should submit a cover letter and a research CV to jessie.galasso-carbonnel@mcgill.ca