The Department of Mathematics and Statistics at Auburn University invites applications for several one- or two-year postdoctoral positions. Each year is considered a 12-month appointment. The two-year appointments would be non-renewable, while the one-year appointments would be renewable once pending need, satisfactory performance, and availability of funding. Each postdoctoral scholar is responsible for teaching 3 courses per year. The desired starting date is August 16, 2022.
The Network Learning & Traversal (NLT, (webhome.auburn.edu/~ezc0066/NLT-Lab.html)) research group, led by Prof. Elvan Ceyhan (ceyhan@auburn.edu) at Auburn University, AL, USA, invites applications for a Postdoctoral Research Fellow position. This role focuses on problems at the interface between (several of) the following areas:
– Random graph theory and percolation
– Computational statistics, statistical learning, and deep learning for
– Stochastic optimization and network optimization
This postdoctoral opportunity aims to empower early-career researchers by centering on the development of their individual research agendas. The position is an integral part of the “Stochastic Obstacle Scene Problem with Adversarial Agents” project, set to commence in August 2024. The role demands engaging in robust research, contributing to academic publications, and assuming a mentorship role for PhD students.
Interested candidates should submit a letter of interest, curriculum vitae, transcripts, a research statement, a teaching statement, a statement of contributions to diversity and inclusion (optional) and contact information for three professional references. Note that teaching is not required for at least one year but may be required for subsequent years (if the fellowship is renewed).
Details:
- Please apply at: www.auemployment.com/postings/26900 and feel free to send an email notification to ceyhan@auburn.edu when you submit your application or use the same email address for your queries on this position.
- Start date: We are looking to fill the position promptly and will begin considering applicants immediately. The review of applications will be ongoing until the role is successfully filled, with priority given to those who apply earliest.