Postdoctoral Researcher in Computer Science - Part time Hourly Paid

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 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 [email protected]

If you require a reasonable adjustment in order to apply for this position please contact [email protected] .  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