PhD Position in Recommender Systems: We invite prospective PhD candidates to engage in cutting-edge research focused on the development, evaluation, and enhancement of trustworthy recommender systems at Delft University of Technology (TU Delft). This opportunity allows candidates to delve into the realms of algorithmic transparency, bias mitigation, privacy preservation, and robustness within machine learning-driven recommender systems.
PhD Position in Trustworthy Recommender Systems
Summary Table
| Designation | PhD Position |
|---|---|
| Research Area | Trustworthy Recommender Systems |
| Location | Delft University of Technology, Netherlands |
| Eligibility/Qualification | Master’s degree in relevant field; proficiency in English |
| Job Description | Research and development in trustworthy recommender systems, focusing on algorithmic transparency, bias mitigation, privacy preservation, and robustness. |
| How to Apply | Submit application online with required documents |
| Last Date for Apply | July 25, 2024 |
Designation
PhD Position
Research Area
Trustworthy Recommender Systems
Location
Delft University of Technology, Netherlands
Eligibility/Qualification
- Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
- Strong mathematical foundation in optimization, statistical learning, and probability.
- Thorough understanding of machine learning, information retrieval, and recommender system methodologies.
- Proficiency in programming languages (preferably Python) and machine learning frameworks (PyTorch or TensorFlow).
- Proficient communication skills in English, both written and verbal.
- Ability to work independently and collaboratively.
Job Description
The selected candidate will focus on various aspects of trustworthy recommender systems, including:
- Algorithmic Transparency and Explainability: Investigate methods to explain the rationale behind recommendations.
- Bias Mitigation and Fairness: Implement strategies to address algorithmic biases and promote inclusivity.
- Privacy-Preserving Recommendations: Explore approaches for personalized recommendations while preserving user privacy.
- Robustness and Safety: Develop mechanisms to withstand adversarial attacks and ensure system stability.
Candidates will join a dynamic team at TU Delft, contributing to research that impacts e-commerce, social platforms, healthcare, and more. The PhD position includes a 4-year period of employment, with an initial 1.5-year contract and a subsequent 2.5-year contract based on performance.
How to Apply
Interested candidates should apply online before July 25, 2024. The application should include:
- Cover letter (max. 1 page)
- Detailed curriculum vitae (including a list of publications, if any)
- Contact information for two references
- Transcripts for BSc and MSc
Applications sent by email or post will not be processed.
Last Date for Apply
July 25, 2024
For more information, contact Masoud Mansoury at m.mansoury@tudelft.nl. Visit the Faculty of Electrical Engineering, Mathematics and Computer Science website for further details.
