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.

 

 

 

            Academic Title         Postdoctoral Scholar

            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

            Employment            Full-time

            Required Background        

·       Ph.D. or equivalent doctorate completed within last 3 years
in computer science, information systems, or related fields

·       Experience in machine learning, time series, spatiotemporal data modeling, anomaly mining

·       Track record of high-quality research

·       Strong programming ability

            Required Documents

1.     CV

2.     Research Statement (1 page)

·       2 recommendation letters including PhD advisor’s

            How to Apply

                                          Please email Required Documents 1 and 2 to lakoglu@andrew.cmu.edu
                                       as a single pdf file with a subject title including “Postdoc@Heinz”

                                         Recommenders should email their letters directly to lakoglu@andrew.cmu.edu,
                                          subject title including applicant’s last name