Harvard University - Boston, MA
posted 4 months ago
About the position
The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University is seeking applicants for a postdoctoral fellowship in Computer Science, specifically focusing on the Theory for Society Project. This project aims to advance a multidisciplinary understanding of fairness issues in online hiring platforms and other systems that rely on user-provided natural language input. A significant concern is that individuals from different demographic groups may use varying language to describe similar work-relevant experiences and requirements, which can lead to biases in algorithmic decision-making processes. The duration of the postdoctoral fellowship is one year, with the possibility of renewal based on performance and project needs. Postdoctoral fellows will receive a competitive salary along with an allocation for research and travel expenses, enabling them to engage in relevant research activities and conferences. The ideal candidate will have expertise in algorithms and complexity, natural language processing, and a solid understanding of the algorithmic fairness literature. The postdoc will be mentored by Prof. Cynthia Dwork, a leading figure in the field, providing an excellent opportunity for professional development and collaboration. This fellowship is distinct from the Theory for Society Project fellowship that also addresses fairness issues in algorithms, and candidates are permitted to apply for both positions. The start date for the fellowship is flexible, allowing for accommodation of the selected candidate's schedule. The John A. Paulson School of Engineering and Applied Sciences, along with its associated departments, is committed to fostering a diverse and inclusive community, encouraging applications from individuals of all backgrounds, particularly those from underrepresented groups in the field.
Responsibilities
- Conduct research on fairness issues in online hiring platforms and related systems.
- Collaborate with multidisciplinary teams to advance understanding of algorithmic fairness.
- Publish research findings in reputable journals and present at conferences.
- Mentor graduate students and contribute to the academic community at Harvard.
Requirements
- Candidates must have a doctorate or terminal degree in Computer Science or a related area by the expected start date.
- Expertise in algorithms and complexity, natural language processing, and algorithmic fairness literature is required.
Nice-to-haves
- Experience with user-provided natural language input systems.
- Familiarity with statistical methods and data analysis techniques.
Benefits
- Generous salary
- Allocation for research and travel expenses
