Postdoctoral Fellow, Computer Science
New Orleans, LA
Jan 24, 2020
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.
* 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.
* 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.
Candidates must apply via Interfolio and provide the following:
* Cover letter
* Three letters of recommendation
Position will close on August 1, 2021, or when the position is filled.
*Equal Employment Opportunity Statement:*
Please Note: Tulane University has officially adopted a mandatory COVID-19 vaccination policy. All employees and visiting faculty must be fully vaccinated with a COVID-19 vaccination or obtain approval for a medical or religious exemption prior to beginning employment.
Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane is actively building a campus culture grounded in our values of EDI and [anti-racism]( We seek and welcome candidate applications from historically underrepresented groups, such as BIPOC (Black, Indigenous, People of Color), women, LGBTQ+, and those living with disabilities as well as veterans.
Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply.
Associated topics: algorithm, application, back end, develop, developer, devops, perl, php, sdet, software developer