Research Associate

Job title:

Research Associate

Company

University of Edinburgh

Job description

Job Description:UOE07 – £39,347 to £46,974 per annumSchool of InformaticsContract Type – Fixed Term – 4.5 YearsFull Time – 35 Hours Per WeekThe Opportunity:The post is full-time (35 hours per week) and fixed term for 4.5 years.The successful candidate will be supervised by Dr Changjian Li (with a dotted line to Dr Laura Sevilla-Lara, and Prof Melissa Terras). In collaboration with other researchers at Abertay University, the team will study generative AI methods to design new machine learning systems to enhance the current workflows of the creative industry, from content creation (2D and 3D), exploration to use (animation, simulation). The successful candidate will also have the opportunity to work with world-leading industry partners in gaming, animation and film sectors by discovering new research topics, developing thoughtful integration of generative AI into virtual production and performance pipelines, and accessing real industrial data as a unique advantage.About the CoSTAR Realtime Lab:The CoSTAR Realtime Lab will bring together video games development expertise in Dundee’s globally significant InGAME cluster with world-leading applied research and development (R&D) at Abertay, with the University of Edinburgh’s expertise in machine learning and artificial intelligence.The Realtime Lab will place R&D side-by-side with live commercial production, offering routes to commercialization and markets beyond most small and medium business (SME) networks. It will facilitate industry sector engagement, catalyzing innovation in:

• performance and motion capture
• virtual humans and dynamic procedural performance
• machine learning for production and artificial intelligence for process reproduction
• artificial intelligence for dynamic effects and procedural graphics for visual effects
• advanced scanning technologies for 3D volume acquisition and ML/AI for procedural environment generation
• developing lighting and ray tracing standards to deliver environmental fidelity
• location-based software and hardware integration
• integrated virtual and real-world film and TV production.

Your skills and attributes for success:

• Ph.D. degree (or nearing completion)
• A strong background in computer graphics and 3D vision, and research expertise in generative AI, e.g., diffusion models, and radiance fields
• Publications at top venues in CG, CV or/and ML (e.g., SIGGRAPH, SIGGRAH Asia, TOG, Eurograhics, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, …)
• Strong programming skills (e.g., Python, C++)
• Experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong communication, presentation, and writing skills, and excellent command of English
• Ability to work effectively as part of a team, to meet deadlines and to report on project progress.

To apply please include:

• a cover letter (describing how past experience and future plans fit with the advertised position)
• complete CV, including list of publications
• the names and email addresses of two referees.

Contact details for enquiries: Dr Changjian Li, ( ) and Prof. Melissa Terras,Click to view a copy of the full (opens new browser tab)Feedback is only provided to interviewed candidates.As a valued member of our team you can expect:

• A competitive salary of £39,347 – £46,974pa
• An exciting, positive, creative, challenging and rewarding place to work.
• To be part of a diverse and vibrant international community
• Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our

(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefitsChampioning equality, diversity and inclusionThe University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our (opens new browser tab)The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.Key dates to noteThe closing date for applications is 1 May 2024Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.About Us: As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.About the Team:Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three College, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK. This contributes to our ranking in the top 15 CS departments world-wide according to the latest Times Higher Education ranking.We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.

Expected salary

£39347 – 46974 per year

Location

United Kingdom

Job date

Thu, 11 Apr 2024 23:15:28 GMT

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