Trottier Space Institute Research Computing Technology Fellow

We invite applications for a postdoctoral Research Computer Technology Fellowship at the Trottier Space Institute at McGill (TSI). TSI is an interdisciplinary research centre within McGill University consisting of 20 affiliated faculty members from the Departments of Physics, Earth and Planetary Sciences, Atmospheric and Oceanic Sciences, and Natural Resource Sciences at McGill (see http://tsi.mcgill.ca). Research topics include (but are not limited to) astrophysics, cosmology, astrobiology, geophysics, life in extreme environments, and the search for extraterrestrial biosignatures.

We seek strong candidates for a Research Computing Technology Fellow. The successful applicant will advise and collaborate on computational projects, including high-performance computing, machine learning, and advanced computational methods. They will be a resource person for TSI staff and researchers, including students. Their academic qualifications will be similar to those of a post-doctoral scholar (a degree in the physical sciences, math, engineering, or a similar discipline; an advanced degree in the physical sciences is an asset), with significant expertise in computational methods. Ideally, their scientific expertise will complement existing expertise at the TSI. They will also be the TSI liaison to the McGill Computational and Data Systems Initiative (see https://www.mcgill.ca/cdsi) and other relevant University initiatives. The position includes organizing training workshops and short courses, and therefore strong communication and interpersonal skills are required. The successful applicant will have the opportunity to conduct independent research of their choosing in the computational sphere, for approximately 25% of their time.

Other qualifying skills and/or abilities:

• A degree in Physics, Mathematics, Computer Science, or a closely related discipline (an advanced degree is not necessary but would be an asset) and experience which necessitated the in-depth use of computational or data science methods and resources.
• Familiarity and comfort with academic and scientific research culture.
• Experience conducting research in Physics or Astrophysics (preferred) or a closely related discipline
• Expert level computational science, data science, and IT skills, particularly with respect to researcher end user applications and tools.
• Excellent communication and presentation skills.
• Experience developing and leading workshops and tutorials is an asset.
• Experience working with university students in academic environment is an asset.

Further details are available at https://tsi.mcgill.ca/index.php?page=tsi-research-computing-technology-fellow