Fairness in Machine Learning Researcher
3 weeks ago
We are looking for a highly motivated and talented individual to join our team as a PhD student. As a researcher in this role, you will be responsible for developing fairer search systems and exploring how performance, efficiency, and retrievability bias impact search behaviors and experiences.
The successful candidate will work closely with our team to design and implement novel approaches to search engine evaluation, leveraging machine learning techniques to improve the fairness and transparency of search results.
Your Key Responsibilities:
- Design and implement novel approaches to search engine evaluation using machine learning techniques
- Explore how performance, efficiency, and retrievability bias impact search behaviors and experiences
- Work closely with our team to develop and refine your research ideas
What We Offer:
- A competitive salary of £28,000 per annum, commensurate with experience
- The opportunity to work on a cutting-edge research project with real-world applications
- A supportive and collaborative working environment with access to state-of-the-art facilities
About Our Team:
The University of Strathclyde's iSchool is a leading centre for research in information science and technology. Our team is made up of world-class researchers who are passionate about developing innovative solutions to real-world problems. We offer a unique opportunity for PhD students to work on exciting projects with a talented and supportive team.
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