"Postdoctoral Fellow, Computer Science "

Tulane University: Humanities & Sciences: School of Science and Engineering: Computer Science

Location

New Orleans, LA

Open Date

Jul 22, 2024

Description

A postdoctoral position is available in Dr. Carola Wenk’s group in the Department of Computer Science at Tulane University based in the historic Uptown New Orleans. This position will be part of a multi-institutional and multi-disciplinary team in the IARPA Hidden Activity Signal and Trajectory Anomaly Characterization (HAYSTAC) program. HAYSTAC aims to establish models of “normal” human movement across times, locations, and people in order to characterize what makes an activity detectable as anomalous within the expanding corpus of global human trajectory data.

The postdoctoral scholar will work on trajectory modeling and mining, analyzing massive sets of movement trajectory data to 1) understand and model normal trajectories in a given urban region, 2) generate artificial trajectories that appear similar to normal trajectories, and 3) detect anomalous trajectories. 

The successful candidate will supervise and collaborate with graduate and undergraduate research assistants, collaborate with fellow scholars, and disseminate their work through publications and presentations. The position is initially for one year with an option for extension, subject to availability of funding. The start date for this position is ideally between September 2024 and January 2025.

Qualifications

Minimum Qualifications:

1. Ph.D. in computer science or a related area.
2. Demonstrated experience in one or several of the following areas: data management, trajectory data analysis, trajectory clustering.
3. A publication record that demonstrates the ability to work well with interdisciplinary research teams.

Preferred Qualifications:  

1. Familiarity with anomaly detection.
2. Familiarity with generative modeling.

Application Instructions

Candidates must apply via Interfolio and provide the following:

• CV
• Cover Letter
• Contact References (2)

Position will close on September 1, 2024, or when the position is filled.