Job description

The appointee will join the Department of Cancer Imaging within the School of Biomedical Engineering & Imaging Sciences from January 2023. The aim is to translate imaging research into the clinical management of patients. The Department is highly collaborative and comprises of a team of clinical and scientific researchers investigating specific diseases using multimodal imaging. 

 

Duties are focused on academic work. The post-holder will be expected to develop high-quality research, as demonstrated by high-impact publications and potentially raise funds through peer-reviewed grant applications. It is expected that machine learning applied to neuroimaging will be the key component of this research. The post-holder, with discussion beforehand, will potentially contribute to teaching and helping the relevant undergraduate/postgraduate students in this field of research.

 

This post will be offered on a fixed-term contract to 28 February 2025 

This is a full-time post

 

Key responsibilities

•         Collaborate on and help to develop a research programme in the field of machine learning applied to neuroimaging 

•         Work in a multimodal (but focused on MRI predominantly) and multidisciplinary research network in the delivery of the above objective.

•         Potentially contribute to teaching and helping the relevant undergraduate/postgraduate students, with a focus on neuroimaging. 

•         Achieve the above objectives in a coordinated way by effective teamwork and collaboration with colleagues

 

Analysis & research:  

•         Contribute to the dissemination of scientific results by means of writing papers for publication, presenting orally and in poster form at academic meetings, seminars and conferences

•         Assist in reviewing scientific papers

•         Contribute to the preparation of research proposals and seek opportunities for further career development through fellowship and grant opportunities and to help other team members to do same

 

Team work, teaching & learning support:

•         Conduct literature searches and keep informed of current developments

•         Disseminate scientific results by means of writing papers for publication and through presenting orally and in poster form at meetings

•         Assist in reviewing scientific papers

•         Attend research training sessions in consenting and all aspects of clinical governance

•         As a member of an interdisciplinary team involving clinicians, carry out research in pursuit of the objectives of the research group leaders.

 

Communication & networking:

•         Work closely with other academics in the School/Department and with clinicians within King’s Health Partners Hospitals

•         Communicate material of a specialist and complex nature using a range of media, within your own discipline and with colleagues from other disciplines

•         Assimilate the language and thinking of other disciplines to facilitate effective collaboration with multidisciplinary teams of data scientists, physicists and clinicians

•         Keep colleagues informed of developments in the research literature

•         Keep line manager and colleagues informed of any problems with equipment

•         Accept and assume a role as part of an interdisciplinary team

•         Carry out any reasonable administrative duties assigned by the Head of School/Department as required for the Department, School and wider Faculty

•         Undertake Continuous Professional Development

•         Undertake appropriate professional duties, such as involvement in professional bodies

 

Research governance:

•         Adhere to appropriate policies and legislation regarding clinical research e.g. informed consent, International Conference on Harmonisation (ICH), Good Clinical Practice (GCP)

•         Maintain full compliance with confidentiality regulations at all times

 

Decision making, planning and problem solving:

•         Contribute to collaborative decision making with colleagues within research teams

•         Assist staff compiling regulatory documentation by providing necessary data

•         Develop and disseminate guidelines resulting from problem resolution

•         Plan and act independently to take forward assigned projects and discuss these with rest of the team

•         Work independently with only low level supervision

•         Assist and advise other researchers in the planning and execution of their research

 

Service delivery:  

•         Work closely with the rest of the clinical and scientific imaging team and facility managers, including senior academics and clinicians, radiographers, clinical research fellows, researchers and research nurses, to undertake individual assigned responsibilities

•         Provide support for other members of the team

•         Adopt systems of work as required by the Local Rules and work closely with the governance management team to ensure compliance on research studies

 

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.  

Skills, knowledge, and experience 

Essential criteria  

1.       PhD in neuroimaging, machine learning or related subjects*  

2.       Experience in advanced computing/machine learning  

3.       Experience in neuroimaging including MRI 

4.       Presenting scientific research in the form of papers, posters or oral presentations 

5.       Research project planning and management 

6.       Use of computers/software including database and research literature searching 

7.       Applying specialist knowledge in the context of medical imaging 

8.       Understanding of the concepts and application of research ethics  

9.       Ability to work well as an effective member of a multidisciplinary team and to share and encourage good practice  

10.   The ability to take individual responsibility for planning and undertaking own work, according to clinical and scientific deadlines 

 

Desirable criteria

1.       Good verbal and written communication skills  

2.       Organized and systematic approach to work on multiple research projects 

3.       Ability to work to scientific deadlines, without close supervision and plan and prioritise own workload