A postdoctoral scholarship is available for an outstanding researcher broadly experienced in data mining and machine learning
with a preferred focus on *** spatiotemporal *** data modeling and anomaly detection.
Applications are to be received on a rolling basis until May 2023.
Employment Full-time
Salary $60,000 and benefits, i.e. health insurance (negotiable depending on the experience level)
Department Heinz College of Information Systems and Public Policy, Carnegie Mellon University
Location Pittsburgh, PA (in-person upon immunity, or a hybrid with possible periods of remote-work)
Start date March, 2023 (earlier or as late as Aug 2023 start may be possible)
Duration 1 year, with the possibility of renewal for 1 more year
Required Background
· Ph.D. or equivalent doctorate completed within last 3 years in computer science, statistics, or related fields
· Experience in machine learning, time series, spatiotemporal
· Track record of high-quality research
· Strong programming ability
Required Documents
1. CV
2. Research Statement (1 page)
3. 2 recommendation letters including PhD advisor’s
How to Apply
Please email Required Documents 1. and 2. to [email protected] as a single PDF file with a subject title including “Postdoc@Heinz”
Recommenders should email their letters directly to [email protected], subject title including applicant’s last name
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Please feel free to broadcast to your contacts whom may be interested.
Best regards,
Leman Akoglu
Dean's Associate Professor, Information Systems
Heinz College of Information Systems and Public PolicyCarnegie Mellon University
www.cs.cmu.edu/~lakoglu/