Unpaid Internship in computational and mathematical research for brain tumor research
We are performing work to disrupt the status-quo in treatment of brain cancer and are looking for a highly motivated undergraduate student and self-starter with some prior experience in computer science, mathematics, physics, and/or engineering work to join our diverse team. Students without such a background are welcome to reach out about this portion of the research in the Petritsch lab, but should at least be proficient in python and understand that getting up to speed may require significant outside study on their part. In this role, students will be mentored by and work directly with a student in our lab on data analysis methods. It is expected this will primarily take the form of implementing methods in code. However, if an undergraduate is sufficiently interested and motivated, they are also welcome to participate in the more mathematical aspects of the research and assist with developing novel methods.
Extensive mentoring will be provided, and we expect a strong work ethic (with expectations of course proportionate to the amount of time for which an intern plans to be involved). Interns will be included as authors on the paper(s) for any project(s) to which they make substantive contributions.
Please include two letters of recommendation from supervisors who can speak to your work ethic and ability to collaborate as part of a team. Ideally at least one in the context of your work on a technical and/or research project in science, technology, or engineering, but letters from other supervisors are accepted as well. We recognize that many strong students simply haven't yet had the opportunity to do research or complete substantial technical projects.