Postdoctoral Researcher

Key Skills

Java Programming, Machine learning techniques, Python Programming, Spatiotemporal Data, SQL, Time series

Job Description

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 

• PhD. 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 

• CV 
• 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