[robotics-worldwide] [jobs] 3 PhD positions in Surgical Robotics and Allied Technologies / Diagnostics and Sensing, Imperial College London

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[robotics-worldwide] [jobs] 3 PhD positions in Surgical Robotics and Allied Technologies / Diagnostics and Sensing, Imperial College London

Giannarou, Stamatia
  *   Job Title: 3-year PhD Studentship (3 positions, Surgical Robotics & Imaging and Diagnostics & Sensing)
  *   Department: Department of Surgery and Cancer, Imperial College London
  *   Section: NIHR Imperial BRC – Surgery and Surgical Technology Theme
  *   Location: St Mary’s Hospital, Imperial College Campus, London.
  *   Reporting to: Professor Darzi and a second nominated supervisor
  *   Working closely with: Other academic members, research associates, PhD students (including Clinical Research Fellows), support staff within Division of Surgery; translational partners (i.e. charities, funders, health and care providers, other academic institutions, potentially overseas partners, industry etc.); Imperial CRUK Centre; Institute of Global Health Innovation.
  *   Working Hours: 36 months, with possibility of fixed-term appointment after the PhD has been awarded
  *   Who can apply: The studentship is only available to EU/UK citizens. Successful applicants will receive an annual stipend of £21,000 plus payment of their full time UK/EU tuition fees for maximum of 36 months.
  *   Application deadline:     31st October 2018
  *   Starting date:    January 2019

Summary of Posts

Applications are invited for three PhD Studentships in the Surgical Robotics & Imaging and Diagnostics & Sensing programmes of the Surgery and Surgical Technology Theme, of the Imperial Biomedical Research Centre.

Surgery and Surgical technology Theme
The research programme in the Theme of Surgery and Surgical Technology in the Imperial NIHR Biomedical Research Centre (BRC; https://urldefense.proofpoint.com/v2/url?u=https-3A__imperialbrc.nihr.ac.uk_&d=DwIF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=mnmf4LsTn59V2bDiwXyyFO8ddb5emx1QJrJapL_juhQ&s=CFkUoASLha2mifTEyMIs4WMh6RIXt1Bxh1Vk8gC44q8&e=), led by Professor Ara Darzi, focuses on improving the quality and safety of the surgical care pathway through technological innovations using our strong track record of interdisciplinary research in design/engineering, medicine, information technology.

Our aim is to continue to translate innovations, in a safe and cost-effective manner, with significant health and economic impact and transferable across all surgical specialties as the output of three inter-related programmes of research:

  *   Programme 1 - Surgical Robotics and Allied Technologies
  *   Programme 2 - Diagnostics and Sensing;
  *   Programme 3 - Translation and Service Delivery.

Research Areas
This call is for PhD studentships who will work as part of programmes 1 and 2. Please note that projects are currently being scoped and successful applicants will have the ability to define the research projects. There is also the potential to shape the PhD around the candidate’s interests. Informal, exploratory chats can also be scheduled. Please:

  1.  Email the theme leads (see links below), for queries regarding the research topic, the projects and methodology.

  1.  Email the BRC Administrator, Emma Lord ([hidden email]), for general queries regarding the Theme and the hiring process.

Programme 1 – Surgical Robotics, Allied Technologies and Imaging

The programme, led by Professor Ara Darzi and supported by Professor Daniel Elson (please email Professor Elson for queries regarding the programme’s research at [hidden email]<mailto:[hidden email]>), will focus on next generation surgical robots that are smaller, cost-effective, more specialised systems with improved visualisation, accuracy and ergonomics, spanning surgical disciplines,  to further reduce the trauma of access and invasiveness of surgery.

Examples of initial project areas (not exhaustive) include:

  *   To use computer vision with endoscopic techniques for soft tissue tracking, surgical navigation and image-guidance.
  *   To link 3D deformation recovery with pre- and intra-operative data and implement multi-modality methods (light, biophotonics, ultrasound) for registration and surgical imaging.

  *   To translate these techniques into surgical use with seamless user interaction, manipulation and visualisation.

Programme 2 – Diagnostics and Sensing

The programme, led by Professor Ara Darzi and supported by Professor Zoltan Takats and Mr Daniel Leff (please email Professor Takats for queries regarding the programme’s research at [hidden email]<mailto:[hidden email]>), will focus on technologies for peri-operative diagnosis and sensing (biophotonics, confocal imaging, mass spectrometric tissue analysis, sepsis detection sensors).

Examples of initial project areas (not exhaustive) include:

  *   Development of pre- and intraoperative diagnostics through novel technologies for improved screening and enhanced intraoperative diagnostics towards precision interventions.
  *   Integrated technology development for diagnosis and screening through enhance tissue characterisation and machine learning image recognition
  *   Post-operative sensing – development of wearable patch sensors for rapid detection of soft tissue infections and sensors fabricated within drainage/catheter tubes for detection of sepsis.

Qualifications and person-specifications
We are looking for candidates with a strong academic background (with a first class degree) or MSc in the following subjects:

  *   Statistics
  *   Biomedical Engineering
  *   Biophotonics
  *   Programming
  *   Machine learning and AI
  *   Physics
  *   Physical and analytical chemistry

Successful candidates will have experience in undertaking independent research in the above subjects. We are looking for individuals with experience in one or more of the following areas and an interest to further develop his/her skills.
     *   Molecular spectroscopy
     *   Organic mass spectrometry
     *   Chemical sensor technology
     *   Biophotonics
     *   Multivariate statistical analysis
     *   Software development (C++, C# or Python)
     *   Real-time 3D computer graphics
     *   Medical imaging and associated data formats
     *   Image processing

The PhD students will be supervised by the multi-disciplinary team in the Division of Surgery. Through the research programme at Imperial, the PhD students will benefit from strong
links and involvement with the CRUK Imperial Centre, Institute for Global Health Innovation (www3.imperial.ac.uk/global-health-innovation) and partner organisations, including:

  *   The Imperial College NHS Healthcare Trust
  *   The Royal Marsden Hospital
  *   The Institute of Cancer Research

All students will be registered through the Imperial Graduate School which provides a full programme of training in research and transferable skills. Further details of the
Department can be found at:  https://urldefense.proofpoint.com/v2/url?u=http-3A__www3.imperial.ac.uk_graduateschools&d=DwIF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=mnmf4LsTn59V2bDiwXyyFO8ddb5emx1QJrJapL_juhQ&s=2gtLDwkIqZE8Mx2bhA_aDi293HdK2SsYU6Vf0PXTD9I&e=<https://urldefense.proofpoint.com/v2/url?u=http-3A__www3.imperial.ac.uk_graduateschools&d=DwIF-g&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=mnmf4LsTn59V2bDiwXyyFO8ddb5emx1QJrJapL_juhQ&s=2gtLDwkIqZE8Mx2bhA_aDi293HdK2SsYU6Vf0PXTD9I&e=>.

How to apply

In the first instance, please:

  *   Email: [hidden email]<mailto:[hidden email]> (and cc [hidden email]<mailto:[hidden email]>)
  *   Your expression of interest should contain the following items:
     *   Your CV (including confirmation of your citizenship in the UK/EU).
     *   A personal statement no more than 1000 words outlining: 1) your interest, 2) your background, and 3) which research area(s) you would like to base your project on.
     *   Scans of your educational certificates and transcripts from your Master’s degree and your Bachelor’s degrees.
     *   Names and contact details of 2 referees who can speak to your educational background. Reference letters from these referees are ideal, but not required at this stage.

Short-listed candidates will be informed via email and will be interviewed.
Successful candidates will be required to formally apply through the Imperial College London Postgraduate Research (PhD) Programme route.

Stamatia (Matina) Giannarou, PhD
Royal Society University Research Fellow
Lecturer in Surgical Cancer Technology and Imaging

Hamlyn Centre for Robotic Surgery
Department of Surgery and Cancer
Imperial College London
London SW7 2AZ, U.K.
Tel:    +44(0)7903714110
Email: [hidden email]<mailto:[hidden email]>

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