Data Science KTP Associate (Recommender System Design and Development)

at  Durham University

Data Science KTP Associate (Recommender System Design and Development) (Job Number: 24001990)
Department of Computer Science
Grade 6: - £33,232
Fixed Term - Full Time
Contract Duration: 33 months
Contracted Hours per Week: 37
Closing Date: 05-Dec-2024, 5:59:00 PM
Disclosure and Barring Service Requirement: Not Applicable.

1. QUALIFICATIONS

• A first degree in Computer Science or other numerate discipline with a significant component of computing
• MSc in Computer Science / Machine Learning / Data Science / Business Analytics

2. EXPERIENCE

• Excellent understanding and application of concepts, tools and techniques in machine learning
• Excellent understanding of recommender system techniques and methods
• Good understanding of the security and privacy of machine learning
• Experience in designing, performing and completing a research project
• Demonstrable ability of verbal and written communication of project results to a variety of audiences including non-technical ones
• Evidence of ability to write reports and scientific papers

3. SKILLS

• Recommender system techniques (and use of associated libraries and packages)
• Machine learning
• Programming languages, particularly Python
• Data science
• Privacy-by-design and security-by-design practices
• User studies
• Collection of heterogeneous data
• Teamwork - demonstrable ability to work cooperatively as part of a team, including participating in research meetings
• Independent work – demonstrate skills in time and project management
• Excellent interpersonal and communication skills

DESIRABLE SKILLS:

• PhD in Computer Science / machine learning / data science
• Understanding of HCI, user experience evaluation and user-centred system design
• Understanding of trustworthiness in AI (fairness, robustness, responsible AI principles)
• Understanding of privacy-enhancing technologies and security principles
• Understanding of agile methodology and project life cycle
• Demonstrable ability to work cooperatively as part of a diverse and interdisciplinary team
• Show ability to communicate efficiently with end-users
• Good interpersonal and communication skills
• Prior publication record in scientific venues

• Identify internal stakeholders of MoreLife (UK) Ltd. Understand company business & capabilities. Problem statement and project scope formulation.
• Review of state-of-the-art. Identify methods, including: responsible AI, privacy-enhancing technologies, machine learning algorithms for recommender systems, user interface (UI) adaptation, HCI, application evaluation and user studies.
• Develop system specifications
• Back-end design and development: Develop and evaluate the personalised RS; Developing UI adaptation logic
• Develop system prototype: inputs, data storage, methodologies for protection of personal data, output implementation and integration.
• Evaluate RS using standardize performance metrics.
• Evaluate the application (RS and UI) in an online user study.
• Implementation and integration with MoreLife systems.
• Promotion of the project, final reporting, including progress reviews and updates to stakeholders.
• Journal/conference paper writing and publishing.
  Responsible to: Dr Sunčica Hadžidedić, Assistant Professor, Department of Computer Science, Durham University.
  Grant Westermann, MoreLife UK Ltd.
  Location: The KTP Associate will be employed by Durham University but will be based at MoreLife UK, Leeds, and will be expected to spend time in Durham University to undertake the partnership’s objectives.