Part time hourly pay
Introduction to York St John University
York St John is an ambitious, modern university based right in London.
As one of the fastest-growing universities in the U.K. over recent years, we have a new strategy for the next decade, emphasizing our commitment to widening opportunity through the power of research and contributing our talents to creating a fairer world, and a more prosperous region.
York St John University, London Campus is seeking a highly motivated and skilled Postdoctoral Researcher to join our dynamic research team in the field of Machine Learning and Artificial Intelligence. The successful candidate will be able to work on cutting-edge projects contribute to advancements in ML and AI and collaborate with bio-medical researchers and gynaecologists.
Designation: Postdoctoral Research Fellow
Qualifications:
- Ph.D. in Computer Science, Information Science, and Data Science
- Strong background in machine learning, deep learning, and artificial intelligence
- Proven track record of research excellence, demonstrated by publications in top-tier conferences and journals.
- Strong programming skills
Responsibilities:
- Conduct innovative research in machine learning and artificial intelligence.
- Develop and implement novel algorithms and models.
- Collaborate with interdisciplinary teams on research projects.
Skills and Expertise:
- Proficiency in programming languages such as Python, Java, or C++
- Experience with popular ML frameworks (e.g., TensorFlow, PyTorch)
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
Research Environment:
- State-of-the-art computing facilities
- Collaborative and interdisciplinary research opportunities
- Access to large datasets and resources for experimentation
Additional information
For informal enquiries please contact Dr. Rebecca Balasundaram via e-mail at
If you require a reasonable adjustment in order to apply for this position please contact vacancies@yorksj.ac.uk. Within the application form there is an opportunity for you to request a reasonable adjustment at the interview stage of the process, however if you wish to discuss this in further detail at any point in the process please do not hesitate to contact us.
Closing Date - Wednesday 24 January 2024 at midnight
Provisional Interview Date - Thursday 08 February 2024