Faculty positions in Theory, Computation, Data Science at WashU
Cluster hire in Theory, Computation, and Data Science for Understanding Living Systems, Departments of Biology, Chemistry, and Physics, Washington University in St. Louis Washington University in St. Louis invites applications for tenure-track faculty positions at the rank of assistant or associate professor for a cluster hire in the area of theory, computation, and data science in the departments of Biology, Chemistry, and Physics. Life operates across a diversity of scales, from molecular-scale processes shaping cellular function to the delicate dynamic balance of our biosphere as a whole. System-level properties and processes are affected by interactions operating at all scales and between scales. Understanding these interconnected systems requires an interconnected and multidisciplinary research community. From AI-driven advances in protein structure and dynamics, to advanced imaging methods enabled by quantum sensing, to developing entirely new mathematical and computational frameworks to achieve insight from complex data, transformative advances in life sciences will require the synergistic work of scientists working across disciplinary boundaries. This cluster aims to create a hub of researchers using theoretical, computational, artificial intelligence, statistics, and data-science methods to advance life sciences from molecular to ecological scales. Applicants whose research synergizes with current areas of strength at Washington University will be favorably considered. Applicants whose research includes an experimental component but is primarily focused on developing theoretical, computational, and data-science methods will also be favorably considered. Candidates should have a Ph.D. in Biology, Chemistry, Physics, or a closely related field. Candidates for the rank of Associate Professor should have an outstanding academic record of research, publication, teaching, and service commensurate with tenure at this rank. Joint applications exhibiting a high degree of research synergy will be considered. Duties will include conducting research, teaching, advising students, and participating in departmental governance and university service. Diversity, equity, and inclusion are core values at Washington University, and we seek to create inclusive classrooms and environments in which a diverse array of students can learn and thrive. Applications should consist of a cover letter describing how the candidate’s research fits within the theme of the cluster; a detailed curriculum vitae; statements of research directions (3-5 pages), teaching interests (1 page), and contributions towards promoting an inclusive research culture or community at large (1 page); and contact information for at least three references. Applications should be submitted to https://apply.interfolio.com/152466 by Oct. 18, 2024 to receive full consideration. Washington University in St. Louis has a policy to recruit, hire, train, and promote persons in all job titles without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, national origin, protected veteran status, disability, or genetic information. *************************************************** Gaia Tavoni, PhD Assistant Professor of Neuroscience Washington University in St Louis ________________________________ The materials in this message are private and may contain Protected Healthcare Information or other information of a sensitive nature. If you are not the intended recipient, be advised that any unauthorized use, disclosure, copying or the taking of any action in reliance on the contents of this information is strictly prohibited. If you have received this email in error, please immediately notify the sender via telephone or return mail.
New job: Tenure Track Associate Professor at the University of Lethbridge, Alberta, Canada, with a focus on the application of AI to e.g. Neuroscience. This position is a prestigious Canada Research Chair (CRC), which comes with generous funding. Here is link: https://uleth.peopleadmin.ca/postings/7749 Best, Artur Luczak https://people.uleth.ca/~luczak/
participants (2)
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Luczak, Artur
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Tavoni, Gaia