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Postdoctoral Research Fellow in Computer Vision and AI

Edge Hill University - Research Investment Fund (EXTERNAL)

Location: Ormskirk
Salary: £38,205 to £42,978 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 15th February 2024
Closes: 10th March 2024
Job Ref: EHR0129-0224
 

Fixed Term contract for 12 months

We’re here to create and harness knowledge, to deliver opportunity for everyone.

About the Role

This is an exciting opportunity for a Research Fellow to join the Computer Science department. 

As a Research Fellow, you will contribute to the development and implementation of Cutting-edge research and innovation addressing the great challenges of how computer vision and AI technologies support and expedite crucial aspects of criminal justice processes.  This position can be a valuable experience for learning more about academia, gaining advanced skills (e.g., computer vision, AI, deep learning, team working, etc.) and can be a valuable way to expand one’s research experience to become more competitive on the academic and industrial research job market.

The Computer Science department is a thriving, international community of students and staff with exceptional facilities to carry out world-class, dynamic, and responsive research addressing global challenges. We are committed to teaching and research excellence, professional practice, interdisciplinary collaborations, and partnerships.

For informal enquiries about this vacancy, you may wish to contact: Professor Ardhendu Behera, Professor of Computer Vision and AI at beheraa@edgehill.ac.uk

The main responsibilities of the Research Fellow include: -

Develop AI model/framework for cell type identification and analysis in microscopic images.

  • Take an active role in interacting, communicating, and collaborating with other involved institutes and stakeholders.
  • Provide a helping hand to others in the group/department/university to promote dynamic interdisciplinary research environment.

About You

As a Research Fellow you will have: -

  • Experience of engaging in personal research and the production of research outputs of a volume and standard necessary to contribute to one of the University’s REF returns. 
  • PhD in the broad area of Computer Science/Engineering and/or Applied Mathematics
  • Research/work experience in computer vision, image processing, microscopic image analysis, deep learning, neural networks, artificial intelligence (AI) and strong computational skills.

You will also be: -

  • Innovative, ambitious, self-motivated, and willingness to work as a team player within an interdisciplinary setup.
  • Excited by the research and development we do and wish to be part of it.
  • A Self-starter to take initiatives beyond the project-related activities.

You will be able to engage in high-quality personal research and possession of the skills of a fully trained researcher and whilst being able to proactively assess, plan and progress work activities, projects and changes within own work area using initiative and judgement and further deal with sensitive situations, handle confidential business data and maintain professionalism.

Rewards & Benefits

  • A minimum of 48 days annual leave per annum, pro rata (inclusive of bank holiday and University closure days) 
  • Access to a range of CPD to support your career development, with three defined pathways for progression.
  • Free foreign language evening classes.
  • Employee assistance programme with access to free confidential counselling sessions, legal & financial advice, and as health & wellbeing resources.
  • Automatic enrolment into the Teacher’s Pension Scheme with our employer contribution of 23.68%
  • Discounted membership to our onsite state-of-the-art sport and leisure facilities
  • Beautiful award-winning on-campus working environment.
  • Staff benefits scheme, which provides you with discounts across the high street, supermarket shopping, cinema tickets, dining out and more.

 About Us

At Edge Hill University we believe in the life changing opportunities knowledge can create. Since 1885, we’ve been creating access to knowledge for those who may not have had the opportunity to before. 

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