Postdoc at Carnegie Mellon on Spatiotemporal Modeling, Pittsburgh PA

Deadline: May 1, 2023, midnight
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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/

Categories: PostDoc,