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Postdoctoral Fellow, Computer Science

Tulane University
New Orleans, LA

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Faculty Jobs
Science & Technology, Computer Science & Information Technology
Position Type
Employment Type
Full Time
Institution Type
Four-Year Institution
Postdoctoral Fellow, Computer Science

New Orleans, LA
Open Date:
May 3, 2024

The Department of Computer Science at Tulane University has an immediate new opening for a full-time postdoctoral fellow. The position will commence at an agreed upon start date and initially corresponds to a one-year appointment, renewable for up to two years.

The successful applicant will work with Prof. Nicholas Mattei and the Tulane Data & Artificial Intelligence Lab (TUDAI).  The applicant is expected to join the lab and work on research involving the theory and practice of artificial intelligence, using tools from algorithm design, game theory, machine learning, data science, and also exploring the impact of these technologies on society.  Applicants should be motivated to both join existing projects as well as propose new opportunities and directions.  The successful applicant will work with Prof. Mattei as well as graduate and undergraduate students in the lab.

The research in the lab is motivated by creating new systems and technologies and by educating others about the possibilities and opportunities of computer science.  The work leverages theory, data, and experiments to create novel algorithms, mechanisms, and systems that enable and support autonomous agents and/or humans to make better decisions both individually and in groups.  The goal of the lab is to advance the state of the art in algorithms and complexity; game theory and computational social choice; data analytics, data mining, and machine learning; and preference reasoning.  Current projects include building new algorithms and systems for reasoning with preferences and constraints; novel methods and mechanisms for individual and group decision making; integrating background knowledge into algorithms for decisions and recommendations; allocation and mechanism design; as well as studying the ethics and social ramifications of these systems in the real world.

Funding for this position comes from Tulane University School of Science and Engineering.


Minimum Qualifications:

  • Background in artificial intelligence, machine learning, and/or data science. Specifically, with experience in one or more of design and analysis of algorithms, agent-based systems, data analytics, computational social choice, game theory, algorithmic economics, fairness and transparency in algorithms.

  • Excellent written communication skills demonstrated by prior publications.

  • Creative experience in asking and answering important research questions by leading on prior research activities.

  • PhD in computer science or related area.

Preferred Qualifications:

  • A track record that demonstrates the ability to work well in both CS only and interdisciplinary teams. 

  • Programming experience in Python, Deep Learning (such as Tensorflow), scikit-learn, and other Python based libraries.

Application Instructions:

Candidates must apply via Interfolio and provide the following:

  • CV
  • Cover letter
  • Three letters of recommendation

Position will close on December 31, 2024, or when the position is filled.

Equal Employment Opportunity Statement:

Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane University is committed to creating a community and culture that foster a sense of belonging for all. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. We encourage all qualified candidates to apply. We are intentionally seeking candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane’s Strategy for Tomorrow.

Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing this application or during any phase of the interview process, please contact the Office of Human Resources & Institutional Equity by phone at 504-865-4748 or email

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