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Machine Learning KTP Associate
School of Biosciences
| Location: |
Other |
| Salary: |
Up to £50000 inclusive of KTP supplement
|
| Grade: |
Grade 6 Research Assistant |
| Post Type: |
Full Time |
| Contract Type: |
Fixed Term
- 24 Months
|
| Release Date: |
Tuesday 28 February 2023
|
| Closing Date: |
23.59 hours GMT on Friday 24 March 2023
(unless otherwise stated)
|
| Reference: |
NATS-206-23 |
Do you have an interest in machine learning and artificial intelligence?
Do you want to apply these methods to important and valuable data and have genuine impact?
Do you want to gain experience of working in both business and academic environments?
If this is you, the Division of Natural Sciences and the Division of Computing, Engineering and Mathematical Sciences along with TMLEP Ashford are looking for you to work on a project looking at identifying and classifying legal and medical documents for a fixed term of two years.
You will develop and identify new machine learning and statistical algorithms. You will be based at TMLEP in Ashford, but work closely with Prof. Philippe De Wilde and Dr. James Bentham of the University of Kent. They have research experience at top UK universities and a track record of successful postdocs.
This is an excellent opportunity for somebody with a PhD in machine learning or statistical learning to do impactful work and prepare for a career in academia or business. You will have the opportunity to publish. You will belong to the academic community at the University of Kent as well as the business community at TMLEP. You do not need to have worked at a company but must have an interest in impact of research via business. The development environment is Python-based.
You will be based in TMLEP’s offices next to Ashford International station. Ashford as well as the University of Kent, at Canterbury, are within easy reach of London, and you will have the opportunity to maintain and develop links with researchers at universities and businesses in London.
As a Machine Learning KTP Associate your duties will include:
- Assessing the problem, gathering data and initial data transformation.
- Using machine learning methods to create a ground-breaking new product that will be able read medical records and ‘stamp’ them with dates.
- Developing an algorithm to ‘read’ medical reports using natural language processing and machine learning methods, categorising them automatically into risk categories.
- Production of documentation and providing training within TMLEP
The successful candidate will have/be:
- PhD (or close to completion) or equivalent qualification or experience in Machine Learning, Data Science (incl. Statistics), or Artificial Intelligence (incl. Machine Learning).
- Experience in conducting research relevant to the project and in writing reports.
- Skilled and able to use Python
- Enthusiasm and excitement about the KTP project and working with industry
TMLEP is a pioneering independent clinical practice, providing clinical investigations, analytics and HealthTech solutions to healthcare providers, insurers, lawyers, and regulators across the globe with the clear aim of ensuring healthcare standards and patient safety are improved.
Prof Philippe De Wilde has several decades of experience in artificial intelligence, including research on deep learning algorithms with many practical implementations. Dr James Bentham is an applied statistician with substantial experience of natural language processing and machine learning methods, and their application to health-related data. Although you will be embedded within TMLEP, you will also have close support and guidance from Prof De Wilde and Dr Bentham. Most supervision will take place at TMLEP’s offices, but you will also have opportunities to travel to the University of Kent and other locations, in particular to attend conferences and exhibitions.
This position is part funded by Innovate UK under the Knowledge Transfer Partnership (KTP) programme.
As the Associate, you will benefit from a generous training and personal development programme. You will also be encouraged to attain membership of a professional organisation and funding support, if appropriate, may be available towards study for a higher degree. More information about KTPs and the many benefits of being a KTP Associate can be found on the KTP website at www.gov.uk/guidance/knowledge-transfer-partnerships-what-they-are-and-how-to-apply .
Please see the links below to view the full job description and to apply for the post. If you believe you meet the essential criteria for the role we would welcome your application. If you require further information regarding the role or the application process, please contact the Human Resources Team on natshr@kent.ac.uk quoting ref number: NATS-206-23.
The University of Kent values diversity and promotes equality at all levels.
We particularly welcome applications from female and black, Asian and minority ethnic candidates as they are under-represented at this level in this area
Please note that we prioritise applications from current University of Kent redeployees. We will let you know if this post is to be filled by a redeployee as, in this instance, your application will unfortunately not be taken forward.
Applications must be made via the University’s online application system; CVs or details sent directly to the department or via email cannot be considered.
The University of Kent values diversity and promotes equality at all levels.