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Research Associate / Research Fellow in Trustworthy Artificial Intelligence for Surgical Imaging

Employer
KINGS COLLEGE LONDON
Location
London (Greater)
Salary
Grade 6: £41,386-£48,414 or Grade 7: £49,737-£55,306 per annum, including London Weighting Allowance
Closing date
15 Jun 2023

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Academic Discipline
Clinical, Pre-clinical & Health
Job Type
Research Related
Contract Type
Fixed Term
Hours
Full Time

Job Details

Job description

We are seeking a Post-doctoral Research Associate to develop novel trustworthy artificial intelligence (AI) algorithms able to extract actionable information from surgical imaging data. 

Candidates should have demonstrable experience in AI applied to imaging data in the field of surgical data science or related fields, in working with robotic-related application, and in translating research into surgical workflows. Candidates are expected to have demonstrable experience with machine learning libraries, such as PyTorch, and robotics frameworks such as ROS. Familiarity with software engineering, version control software, and experience working within a multi-developer team is desirable. 

The post involves close and active collaboration with researchers, engineers and clinicians. The post-holder will take part in the FAROS European Project (https://h2020faros.eu/), the Wellcome NeuroPPEye project (https://cai4cai.ml/neuroppeye/) and contribute to the Wellcome / EPSRC Centre for Medical Engineering - Trustworthy AI for Sensory-rich Surgical Robotics research pillar (https://medicalengineering.org.uk/centre-activities/pillar-3-trustworthy-artificial-intelligence-for-sensory-rich-surgical-robotics/). Working with established platforms and building on the software and mechatronics infrastructure already present within our teams if of paramount importance to ensure project cohesion and strong links with the members of the consortium. 

The successful candidate is expected to disseminate their research through presenting at scientific conferences, publishing in peer-reviewed journals, and providing open-source software tools. Candidates are expected to have a strong track record (for their career stage) of scientific publications in machine learning and/or computer-assisted intervention-related journals or equivalent conference publications. Candidates should have strong written and oral presentation skills. 

The successful candidate will be based in the Department of Surgical and Interventional Engineering reporting to Prof Tom Vercauteren. The successful candidate will have the ability to collaborate with other researchers, supervise junior researchers (for Research Fellows), attend regular seminars, and apply their algorithms to other related clinical problems. 

This post will be offered on an a fixed-term contract for up to 21 months until 31 March 2025. 

This is a full-time post - 100% full time equivalent

Key responsibilities

•         Develop, validate and integrate trustworthy algorithms for computer-assisted intervention (CAI)  

•         Contribute to project management  

•         For Research Fellows: Contribute to junior research member supervision 

•         Maintain accurate and up-to date technical and user documentation of the delivered software 

•         Contribute to the dissemination of the research through publications, open-source software and public engagement activities 

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 or equivalent industrial experience in Computer Assisted Intervention or a closely related field 

2.       Good knowledge of machine learning and computer vision algorithms 

3.       Solid knowledge of and experience using the Python programming language 

4.       Experience with scientific software packages such as PyTorch, Pandas, SciPy, NumPy, SciKit’s, OpenCV, ROS2, etc. 

5.       A demonstrable record of publications in top-ranked peer-reviewed conference proceedings and scientific journals in the field 

6.       Ability to work with a variety of people 

7.       For Research Fellows (G7): Experience in planning research projects and coordinating the work of other staff 

Desirable criteria

1.       Understanding of image acquisition and hardware components relevant to real-time data acquisition and processing from existing and medical devices including stereo cameras, force sensors, and robot encoders. 

2.       Solid knowledge of and experience using the C++ programming language 

Company

King's College London is one of the top 20 universities in the world and among the oldest in England. King's has more than 27,600 students (of whom nearly 10,500 are graduate students) from some 150 countries worldwide, and some 6,800 staff.

King's has an outstanding reputation for world-class teaching and cutting-edge research. In the 2014 Research Excellence Framework (REF) King’s was ranked 6th nationally in the ‘power’ ranking, which takes into account both the quality and quantity of research activity, and 7th for quality according to Times Higher Education rankings. Eighty-four per cent of research at King’s was deemed ‘world-leading’ or ‘internationally excellent’ (3* and 4*). The university is in the top seven UK universities for research earnings and has an overall annual income of more than £684 million.

King's has a particularly distinguished reputation in the humanities, law, the sciences (including a wide range of health areas such as psychiatry, medicine, nursing and dentistry) and social sciences including international affairs. It has played a major role in many of the advances that have shaped modern life, such as the discovery of the structure of DNA and research that led to the development of radio, television, mobile phones and radar.

King's College London and Guy's and St Thomas', King's College Hospital and South London and Maudsley NHS Foundation Trusts are part of King's Health Partners. King's Health Partners Academic Health Sciences Centre (AHSC) is a pioneering global collaboration between one of the world's leading research-led universities and three of London's most successful NHS Foundation Trusts, including leading teaching hospitals and comprehensive mental health services. For more information, visit: www.kingshealthpartners.org.

King’s £600 million campaign, World questions|KING’s answers, has delivered huge global impact in areas where King’s has particular expertise. Philanthropic support has funded new research to save young lives at Evelina London Children’s Hospital; established the King’s Dickson Poon School of Law as a worldwide leader in transnational law; built a new Cancer Centre at Guy’s Hospital; allowed unique collaboration between leading neuroscientists to fast-track new treatments for Alzheimer’s, Parkinson’s, motor neurone disease, depression and schizophrenia at the new Maurice Wohl Clinical Neuroscience Institute; created the Cicely Saunders Institute: the first academic institution in the world dedicated to palliative care, and supported the King’s Sierra Leone Partnership in the Ebola crisis. Donations provide over 300 of the most promising students with scholarships and bursaries each year. More information about the campaign is available at www.kcl.ac.uk/kingsanswers.

Company info
Mini-site
KINGS COLLEGE LONDON
Telephone
+(44)02078365454
Location
STRAND
LONDON
WC2R 2LS
United Kingdom

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