Duke University, Computer Science
Position ID:
Position Title:
Postdoctoral Researcher Associate
Position Location:
Durham, North Carolina 27708, United States of America
Subject Area:
Appl Deadline:
2025/06/15 11:59PM
(posted 2025/06/07, listed until 2025/06/15)
(posted 2025/06/07, listed until 2025/06/15)Position Description:
Position Description
A postdoctoral researcher associate position is available in the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better decisions focusing mainly on interpretable machine learning and its applications. The candidate must be an expert in music generation and Schenkerian analysis. The candidate will be responsible for working with various methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning and applying these techniques to problems in computational creativity, including music generation, production, and analysis. The candidate will join a highly dynamic team of researchers that spans across different departments at Duke University and other research universities, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be expected to support in the supervision undergraduates on projects. The group emphasizes collaborative and multidisciplinary work bringing together expertise from various areas of science including mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state-of-the-art IT infrastructure. Ideal candidates should hold a PhD in the area of Computer Science or Electrical and Computer Engineering and have strong programming skills including Python. Past work in interpretable deep neural networks is required. Candidate must have published in top journal and conference at least one scientific paper in interpretable machine learning (not explanations of black boxes) among other papers in top venues and have strong recommendation letters from top machine learning researchers. The application deadline is June 15, 2025, but applications will be reviewed on a rolling basis as received. Start date is flexible based on candidates Ph.D completion. How to apply: Position candidates should submit a brief statement of research experience and interests, a CV, and two or three references.Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.
Application Materials Required:
Submit the following items online at this website to complete your application:
- Curriculum Vitae
- Brief Statement of Research Experience/Interests
- Two to three references (no actual letters, just names and email addresses )
And anything else requested in the position description.
Further Info:
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Department of Computer Science
Box 90129
Duke University
Durham, NC 27708
Box 90129
Duke University
Durham, NC 27708