Research Assistant/Research Associate Brain-World Foundation Models (Fixed Term) at University [...]

SA Brain and Company Ltd; Cambridge; On-site; GBP 32,000 - 46,000; Full time

Job summary

An established industry player is seeking a Research Assistant/Associate to join their innovative team at a prestigious university. This role focuses on developing groundbreaking multimodal world models that integrate brain signals with real and synthetic data. Ideal candidates will have a PhD in computer science, experience in AI, and a passion for advancing human-computer interaction. Join a collaborative environment that supports revolutionary research and fosters academic excellence. If you are ready to make a significant impact in the field of AI and brain-computer interfaces, this opportunity is perfect for you.

Qualifications

• PhD in computer science focusing on AI and brain-computer interfaces.
• Publications related to neural network models and their applications.

Responsibilities

• Develop multimodal world models incorporating brain signals.
• Correlate brain signals with real-world and synthetic data.

Skills

AI

Brain-computer interfaces

Neural networks

Image generation

Video generation

Research skills

Excellent spoken and written English

Education

PhD in Computer Science

Relevant publications

Job description

Research Assistant/Research Associate Brain-World Foundation Models (Fixed Term) at University of Cambridge

Join to apply for the Research Assistant/Research Associate Brain-World Foundation Models (Fixed Term) at University of Cambridge role at SA Brain and Company Ltd

Research Assistant/Research Associate Brain-World Foundation Models (Fixed Term) at University of Cambridge

4 weeks ago Be among the first 25 applicants

Join to apply for the Research Assistant/Research Associate Brain-World Foundation Models (Fixed Term) at University of Cambridge role at SA Brain and Company Ltd

Location: Cambridge Salary: £32,296 to £45,163 per annum Hours: Full Time Contract Type: Fixed-Term/Contract Job Ref: NR44506

Fixed-term: The funds for this post are available for 12 months.

Applications are invited for a Research Assistant or Research Associate (PostDoc) to join the Core Lab in the Department of Computer Science and Technology at the University of Cambridge, UK.

You will work together with a team of students, postdocs, and research collaborators. We will work on developing multimodal world models that incorporate brain signals. Brain signals will be correlated with real world and synthetic data to develop the next generation of human-computer interaction models.

The successful applicant will possess or soon obtain a PhD in computer science in topics relating to AI and brain-computer interfaces. The ideal candidate should already have publications related to brain-signal-based neural network models and their applications to image or video generation. Excellent spoken and written English is essential. Those who have submitted but not yet received their Ph.D. will be appointed at Research Assistant level, to be amended to Research Associate once the Ph.D. has been awarded.

The post will be based in the Core Lab, core-lab.io, part of the Department of Computer Science and Technology, https://www.cst.cam.ac.uk/ , in the University of Cambridge. The Department encompasses computer science and related technologies, from engineering to mathematics. We have an internationally leading reputation for academic research, and an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting internal and external collaborations, and a long history of developments that transform computing outside the University.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Please provide a CV and a covering letter. Candidates must provide the names and contact details of two referees who are familiar with their work. If you upload any additional documents which haven't been requested, we will not be able to consider these as part of your application.

Please quote reference NR44506 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Temporary

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Medical and Diagnostic Laboratories

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