Two Research Assistant positions in Artificial Intelligence for Healthcare (Fixed Term)

University of Cambridge
May 24, 2024
Offerd Salary:£29,605-£33,966
Working address:N/A
Contract Type:Fixed-term: The fund
Working Time:Negotigation
Working type:N/A
Ref info:N/A
Two Research Assistant positions in Artificial Intelligence for Healthcare

(Fixed Term)

Fixed-term: The funds for this post are available for 5 months in the first instance with potential further extensions and promotions.

The Accelerate Programme for Scientific Discovery is a high-profile Cambridge University initiative promoting the use of machine learning to tackle major scientific challenges. Working across disciplines within the University, Accelerate is advancing research at the interface of artificial intelligence (AI) and science and society, providing training in data science for science and society, and building a community of research and practice.

We are looking for two Research Assistants to join our team, working on an interdisciplinary AI for healthcare project the explores the interfaces that can facilitate effective interactions between health sciences and AI. This project could explore different aspects of health data to develop models and predict important outcomes to support healthcare sector. Project partners include the Centre for Integrated Neuroscience Discovery (CIND) at Department of Neuroscience and the Centre for Advanced Photonics and Electronics (CAPE) and bioelectronics lab at the Department of Engineering at University of Cambridge, Royal Papworth hospital, Alan Turing Institute, and Haleon, whom provide guidance, support and opportunities for the project members to seek training and collaborations to widen expertise knowledge.

The successful applicants will be expected to have following core skills and experiences:

  • A Bachelor degree in a computer science, engineering or relevant specialist subject with a strong emphasis on AI or a bachelor degree in life sciences with a postgraduate degree in AI or ML.

  • Strong motivation for developing AI solutions for real world problems.

  • Excellent programming skills with Python AI/ML libraries and any other AL/ML programming platforms.

  • Experience in working with large datasets.

  • Organisational skills and the ability to manage their own workload.

  • Communication skills and the ability to communicate research clearly to diverse stakeholders;

  • The Department of Computer Science and Technology is an academic department that encompasses computer science along with many aspects of engineering, technology and mathematics. We have a world wide reputation for academic research with consistent top research ratings. The Department has an open and collaborative culture, supporting revolutionary fundamental computer science research, strong cross-cutting collaborations internally and externally, and ideas which transform computing outside the University. Please follow the link at: https: // www. to find out more about our Department.

    The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Please note that we provide the support of applying for the relevant visa (if required) and we reimburse the cost of the first visa.

    Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

    To apply, please submit a CV and covering letter. If you upload any documents which have not been requested, we will not be able to consider these as part of your application.

    Please quote reference NR41640 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.

    Further information
  • Further Information
  • Department/Location

    Department of Computer Science and Technology, West Cambridge








    14 May 2024

    Closing date

    24 May 2024

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