Vacancy Type/Job category
£32,348 - £42,155 per annum
University of Warwick, Coventry
Fixed-term contract for 36 months, 1.0 FTE.
We are seeking a Postdoctoral Research Fellow (PDRF) to support
computational pathology methods development and assist in the successful
execution of our Mesothelioma early diagnosis project grant funded by Asthma +
This is an immensely exciting opportunity to join a dynamic project team based
in the Tissue Image Analytics Center, Department of Computer Science,
University of Warwick.
The goal of the project is to develop a data repository and associated Al
tools to improve diagnosis of malignant mesothelioma. The collaborative and
multi-disciplinary project is led by Imperial College and involves experts at
University of Warwick, Royal Brompton and Harefield Hospitals NHS Foundation
Trust, Imperial College (NHLI), Queen Mary University of London, Middlesex
University and University of Oxford.
We are recruiting a research fellow in order to build a pathology image data
repository and develop novel Al tools to demonstrate diagnostic efficiencies
of computer-aided testing of pathology samples and to improve early detection
of malignant mesothelioma.
As research staff on the project, you will work on research and development of
deep learning-based image analytics methods for computer-aided screening in
multi-gigapixel pathology images and other modalities.
You will also be expected to work closely with project partners in terms of
data integration and management as well as development of enabling
technologies in this area that can potentially meet regulatory requirements
and be suitable for deployment into a clinical setting.
Suitable candidates will have at least a 2.1 Honours degree and a PhD (or
equivalent experience / qualification) in Computer Science or a closely
related discipline and the experience to initiate and perform research in line
with the identified requirements of the project.
You will have a strong background in one or more of the following: deep
learning; big data management; computational pathology; medical imaging;
computer vision; and machine learning.
If you are near submission or have recently submitted your PhD but have not
yet had it conferred, any offers of employment will be made as Research
Assistant at the top of level 5 of the University grade structure (£31,411).
Upon receipt of evidence of the successful award of your PhD, you will be
promoted to Research Fellow on the first point of level 6 of the University
grade structure (£32,348).
Interview Date: TBC.
Undertake high quality research in order to support computational pathology
DUTIES & RESPONSIBILITIES
Work with the multi-disciplinary project team to conduct research on big data
management and/or deep learning for pathology image and data analytics and
visualization to meet the Warwick team's responsibilities.
- Work independently and alongside the project partners to meet the larger
- Write up research work for presentation at top international conferences
and publication in high quality journals.
- Continually translate knowledge gained from the research process into
additional areas / methods of research.
- Contribute to the preparation of paper for project management and responses
to funding agencies.
- Present information on research progress and outcomes to project
- Communicate complex information (orally and in writing) and material of a
specialist or highly technical nature.
- Help establish a sound research base within the department in order to
assist the development of research objectives and proposals for own or joint
research, as required by the project lead.
- May contribute to preparing proposals and applications to external bodies,
e.g. for funding and contractual purposes, to support a developing research
- Continually update own knowledge and understanding in field or specialism.
May be asked to assist in the supervision of student projects and the
development of student research skills.
Administration and Other Activities
- Will be required to attend team meetings and to participate (where
necessary) in other working groups within the project.
- Ensure compliance with health and safety in all aspects of work.
- Work within budget constraints.
- Undertake any additional tasks that fit with the role and grade of the
Travel to project partners, as and when required.
The Person Specification focuses on the knowledge, skills, experience and
qualifications required to undertake the role effectively. This is measured by
(a) Application Form, (b) Test/Exercise, (c) Interview, (d)
Essential Criteria 1
2:1 or above honours degree and possession of a PhD or equivalent in Computer
Science or a closely related discipline. (a)
Essential Criteria 2
Proven ability in research and evidence of quality research output in one or
more of the following: deep learning; big data management; computational
pathology; medical imaging; computer vision; and machine learning. (a, c)
Essential Criteria 3
Ability to initiate, plan, organise, implement and deliver programmes of work
to tight deadlines. (a, c)
Essential Criteria 4
A developing research profile with the ability to publish and/or produce high
quality research output. (a, c)
Desirable Criteria 1
Ability to work with people across academic, healthcare and industry, with
good interpersonal skills. (c)
Desirable Criteria 2
Good written and oral communication skills, with the ability to translate
complex information into accessible language. (a, c)
Desirable Criteria 3
Sufficient breadth or depth of specialist knowledge in the discipline and of
research methods and techniques to work independently and initiate and develop
relevant research. (a, c)
Desirable Criteria 4
Ability to work independently or as part of a multi-disciplinary team on
research programmes. (a, c)
Desirable Criteria 5
Ability or potential to contribute to the development of funding proposals in
order to generate external funding to support research projects. (a, c)
For further information about the University of Warwick, please read our
University Further Particulars.
For further information about the department, please visit the departmental
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19 Oct 2022