CAMERA

PhD projects and job roles currently recruiting

Current job vacancies

As part of the £30m MyWorld programme, we are searching for three motivated individuals to create the next generation of content capture and creation tools for the creative industries across film, TV, games and immersive Virtual and Augmented/Mixed Reality. 

This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world-leading quality obtained via our unique CAMERA Studio facilities.

There are three positions available, and each is a fixed-term role with funding for 2.5 years. Closing date 26th December.

We are seeking an experienced professional to lead CAMERA’s marketing activities; promoting CAMERA’s work to prospective businesses and partners (e.g. maintaining website content, blog posts, tweets, LinkedIn etc). 

Working under the guidance of the Directorate, through the Centre Manager, you will lead marketing activities for the centre and will organise and make arrangements for a range of events and meetings; liaising with staff and postgraduate students within the University of Bath and external partners and stakeholders to ensure the success of CAMERA’s events programme. 

You will also act as the as the primary administrative link between the Turing Institute and the University of Bath; promoting opportunities to engage with the Institute to University researchers and students to maximise the benefits of their involvement. 

Part time role, fixed term until October 2025. Closing date 26th December.

Current PhD Opportunities

Theory of Score-based Generative Models

CAMERA Opportunities

Lead supervisor: Prof Neill Campbell: [email protected]

To find out more and to apply.

 

Use of Implicit Shape Representations in Computer Vision

CAMERA Opportunities

Lead supervisor: Prof Neill Campbell: [email protected]

To find out more and to apply.

Physically Inspired Machine Learning Models: Learning Differential Equations from Data

CAMERA Opportunities

Lead supervisor: Prof Neill Campbell: [email protected]

To find out more and to apply.

Understanding the Psychology of Immersive Experiences

CAMERA Opportunities

Lead supervisor: Prof Danae Stanton Fraser: [email protected]

To find out more and to apply.

To apply for any of the above PhD opportunities click on the link within that project’s description. For an informal discussion pre-application please email the named contact for that project.

Open Applications

We are also inviting project proposals for fully funded (stipend and fees) PhD studentships available for UK students (Conditions may apply to non-UK students) commencing in January or March 2024. Closing date for applications: Monday 27 November 2023.

The successful candidate will work closely work with the experts from CAMERA and with collaborators from the University of Bristol and project partners associated with the MyWorld programme. This ambitious MyWorld project is a five-year programme funded by the UKRI Strength in Places fund. The £46m programme brings together 30 partners from Bristol and Bath’s creative technologies sector and world-leading academic institutions, to create a unique cross-sector consortium.

We are searching for motivated students who wish to create the next generation of content capture and creation tools for the creative industries across film, TV, games and immersive Virtual and Augmented/Mixed Reality. This work will make use of the latest advances in Machine Learning technology, e.g. generative AI, trained on datasets of world-leading quality obtained via our unique CAMERA Studio facilities.

The project proposal should be within the key themes of:

· Automatic capture and rigging of high-quality avatars/digital doubles including biomechanically accurate dynamics

· Efficient capture of cinematic quality 4D volumetric data including ML/AI tools to allow artistic control and editing

· Next generation of virtual production including lightfield synthesis to recreate truly real-world lighting on set

For further details, please see https://www.ndfcampbell.org/opportunities/

You will work alongside the six members of our excellent studio team who have long-standing experience across both technical and creative/artistic aspects of the studio. Collaboratively, they will assist with capturing exciting and challenging new datasets or showcasing our research with internationally leading studios and award-winning creative teams (e.g. DNEG and Aardman Animations).

Candidate Requirements:

Applicants should hold, or expect to receive, a First Class or good Upper Second Class Honours degree (or the equivalent). A master’s level qualification would also be advantageous.

Applicants without a Masters level course in computer vision, computer graphics, machine learning, applied mathematics, physics, or a strongly correlated field, would have to provide strong justification (and evidence) that they would be able to handle the maths and programming necessary to complete a PhD in this field.

Programming experience is a particular advantage, specifically proficiency in numerical Python / C++ or similar. All of the techniques we use build on Linear Algebra and it would be desirable for the candidate to have experience in applied mathematics / numerical methods.

Non-UK applicants must meet our English language entry requirement.

Enquiries and Applications: Informal enquiries are welcomed and should be directed to Prof Neill Campbell.

Formal applications should be made via the University of Bath’s online application form for a PhD in Computer Science by the closing date of Monday 27 November 2023.

When completing the application form, please:

1. In the Funding your studies section, select ‘University of Bath LURS’ as the studentship for which you are applying and quote ‘MyWorld LURS’ in the further information box.

2. In the Your PhD project section, quote the project title or the research topic you would like to pursue.

Information on ‘how to apply’ and the information applicants should submit with their applications may be found here.

NOTE: Applications may close earlier than the advertised deadline if a suitable candidate is found. We therefore recommend that you contact the lead supervisor prior to applying and submit your formal application as early as possible.

Funding Eligibility:

To be eligible for funding, you must qualify as a Home student. The eligibility criteria for Home fee status are detailed and too complex to be summarised here in full; however, as a general guide, the following applicants will normally qualify subject to meeting residency requirements: UK nationals (living in the UK or EEA/Switzerland), Irish nationals (living in the UK or EEA/Switzerland), those with Indefinite Leave to Remain and EU nationals with pre-settled or settled status in the UK under the EU Settlement Scheme). This is not intended to be an exhaustive list. Additional information may be found on our fee status guidance webpage, on the GOV.UK website and on the UKCISA website.

Equality, Diversity and Inclusion:

We value a diverse research environment and aim to be an inclusive university, where difference is celebrated and respected. We welcome and encourage applications from under-represented groups.

If you have circumstances that you feel we should be aware of that have affected your educational attainment, then please feel free to tell us about it in your application. The best way to do this is a short paragraph at the end of your personal statement.

Funding Amount

A studentship includes Home tuition fees, a stipend (£18,622 per annum, 2023/24 rate) and research/training expenses (£1,000 per annum) for 3 years.