Post-Doctoral Research Associate in Machine Learning
This position is no longer available - see other oppotunities for joining us.
Salary ─ £36.333 per annum
Duration ─ 18 months
Starting Date ─ May 2023
Department ─ Computer Science, Durham University
Deadline ─ 18th April 2023
Job Information
The Research Associate will lead a Knowledge Transfer Partnership (KTP) project that is a collaboration between Durham University and Evergreen Health Solutions based in Manchester. The Knowledge Transfer Partnership (KTP) scheme helps businesses to innovate and grow through the aid of discipline specific academic expertise. It does this by linking them with an academic supervisory team and a researcher in a university to work on a specific project.
Working alongside the Data Team at Evergreen Life, the Research Associate will be involved in a project to design, develop and implement a skin lesion classification system using deep learning approaches, facilitated by the real-world dataset provided by Evergreen. In addition to that, the Research Associate will contribute to Machine Learning focused projects such as modelling solutions for Diabetes, Hypertension, and BMI prediction among others.
Evergreen Health Solutions is one of the largest private providers of dermatology services to the NHS. Following the pandemic, the demand for these services is growing with the company eager to reduce the NHS backlog.
Durham University is one of the world's top universities ranked top 100 in the world. We are home to some of the most talented scholars and researchers from around the world who are tackling global issues and making a difference to people's lives. The successful candidate will be working with academics in the Department of Computer Science, which is ranked 6th in the UK according to the Complete University Guide 2022 (Durham University ranked 6th overall). The department holds an Athena Swan Bronze award, highlighting its commitment to promoting Equality, Diversity, and Inclusion in Science, Engineering and Technology.
Requirements
Essential:
- A PhD degree (or close to PhD completion) in Computer Science or related subject, or strong alternative postgraduate qualifications
- Experience of conducting research and development projects in the area of machine learning, computer vision, natural language processing, and multimodal learning.
- Experience with one or more deep learning environments and programming languages
- Experience in managing and processing datasets
- Experience in formal academic and report writing of a quality commensurate with higher education qualifications
- Excellent written and spoken English
- Effective interpersonal and communication skills
- Appropriate mathematical and computational skills to be able to undertake the technical development laid out in the project description
- Demonstrable ability to work cooperatively as part of a team
- Self-motivation and ability to work autonomously and to schedule on agreed tasks
- Presentation and communication skills to a wide target audience
- Comfortable working cooperatively in a team, working independently on their own initiative and to strict deadlines
- Interested in research and development
Desirable:
- Experience in application development and/or biomedical engineering
- Experience in collaboration projects with academic/industry colleagues for software development
- Experience in producing research publications in journals and conferences
- Experience in presenting research findings at national/international venues
- Ability to propose and discuss novel research ideas for solving a problem
- Ability to attract collaboration and opportunities for the project
- Ability to plan and manage independent research
- Adapting to ever-changing environment and business needs with a willingness to learn and explore state-of-the-art knowledge
- Attributes to provide high-quality input and recommendations to inform decisions of the others
To Apply
To apply, please visit the application page.
People