Duke University, Computer Science
*** this position has been closed and new applications are no longer accepted. ***
Position Description
An Associate in Research 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 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 critical societal problems in healthcare, criminal justice and energy grid reliability, as well as to materials science and computer vision. 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, Radiology, and Electrical and Computer Engineering, and will be expected to participate in the preparation of research proposals and scientific publications. The group emphasizes collaborative and multidisciplinary work bringing together expertise from various areas of science including mathematics, engineering and the life sciences. 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 Bachelor's degree in the area of Computer Science and have strong programming skills including Python. Past work in interpretable deep neural networks is required. Candidate must have published at least one scientific paper in interpretable deep learning. How to apply: Position candidates should submit a brief statement of research experience and interests, a CV and the name of two or three references.Duke is an 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, (including pregnancy and pregnancy related conditions), sexual orientation, or military 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:
- Curriculum Vitae
- Brief Statement of Research Experience/Interests
- Two to three references (no actual letters, just names and email addresses
)
Further Info:
Box 90129
Duke University
Durham, NC 27708