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2 Post-doc and 6 PhD students in Machine Learning and Computer Vision
Ensure ethical outcomes and public trust in automated systems by embedding fairness, accountability, and transparency into your machine learning models.
Benefits:
Salary £41,526 - £49,553 (Grade 8) for postdoc
4-year PhD studentship
World-leading research environment (REF 2014)
Located in Brighton near the sea and London
Publish in top AI conferences (NeurIPS, ICML, CVPR)
Education Requirements:
PhD in machine learning or related field (for postdoc)
Experience Requirements:
Good publication record (postdoc applicant)
Background in approximate inference or reinforcement learning
Other Requirements:
No fixed application deadline, positions open until filled
Responsibilities:
Novel inference and computational method development
Fairness under uncertainty in static settings
Fairness under uncertainty in dynamic settings
Ensuring transparency in fairness for human understanding
Building interpretable models using uncertainty estimates
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PhD Fellowships in Responsible AI, AI-Human Coexistence and AI for Sustainability
Ensure ethical outcomes and public trust in automated systems by embedding fairness, accountability, and transparency into your machine learning models.
Benefits:
Tax-free stipend of £18,622 per year for 4 years
Research training stipend of £2,000 for 4 years
Tuition fees waived up to overseas rate
Opportunity to visit or work at Monash University Indonesia
Work in the WeArePAL lab at the University of Sussex
Education Requirements:
Background in Computer Science, Math, or Statistics
Background in Econometrics or Industrial Engineering
Background in Law or Information Systems
Experience Requirements:
Academic or professional background in related disciplines
Other Requirements:
Discuss application informally via email before applying
Clearly indicate supervisor Professor Novi Quadrianto on application
Responsibilities:
Harnessing AI for Fairness, Transparency, and Inclusive Growth
Developing AI frameworks that minimize bias and promote trust
Safeguarding Ethical and Legal Boundaries in Human-AI Coexistence
Developing policies for human-AI coexistence
Leveraging AI for sustainability in supply chain networks
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