GIFT-Surg Vacancies

Clinical Research Fellow

This project has 2 posts for Clinical Research Fellows to work jointly in the Research Department of Maternal Fetal Medicine at the Institute for Women’s Health, and the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) within the Department of Medical Physics and Biomedical Engineering. It is expected that both post holders will apply to take a doctoral degree at UCL (PhD). The post holders will develop innovations to open the way for new fetal treatments that are currently not possible due to the difficult constraints of operating in the intrauterine environment. The first post is on innovations to improve visualisation of fetal structures and the placental circulation using magnetic resonance and photoacoustic imaging, to improve diagnosis of fetal abnormality, planning and performance of fetal surgery. The second post is to test new miniaturised instruments currently being developed to improve flexibility and precision for the fetal surgeon to treat identical twin pregnancy complications, fetal spina bifida, with adaptations to deliver stem cell therapies to the fetus. A training platform is also being developed that will enable surgeons to gain the necessary skills before operating on pregnant mothers. Concurrently with the development programme, the postholders will run a regular patient public engagement group to consider ethical and practical issues relating to clinical translation.
Closing Date: 23.59, 26 Nov 2017

Research Associate/Senior Research Associate in Advanced Computational Imaging for Fetal Surgery

This is an exciting opportunity for an enthusiastic researcher with skills in computational image analysis and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of novel image analysis techniques for fetal surgery (see the GIFT-Surg project website for more detail www.gift-surg.ac.uk).

We are seeking a post-doctoral research associate to work on developing advanced computational modelling techniques to analyse fetal imaging for guiding surgical planning, and predicting surgical and functional outcome. As part of their role, the candidate will develop techniques for analysing novel MRI imaging data, correcting motion artefacts and establishing in utero biomarkers of function and outcome. The candidate will also be in charge of integrating the developed algorithms into our open-source software platforms.

The project is ambitious and widely scoped and therefore there will be exciting opportunities to link advanced medical image computing with the unmet clinical need for accurate surgical planning and precise analysis of outcome.

 

Closing date: 23.59, 26 Nov 2017

 

To apply please visit the UCL Jobs Portal

 

Research Software Engineer in Computer-assisted Fetal Therapy

This is an exciting opportunity to join the Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS). We are looking for a Research Software Engineer to complement our multi-disciplinary team in the clinical translation phase of the GIFT-Surg research project.

This post is ideal for those keen on designing and engineering creative software solutions to clinical challenges using state-of-the-art scientific methods and novel surgical instrumentation.

Closing date: 12 November 2017

For more information and a full Job Description please visit the UCL HR website

 


Archive

Research Associate in Computational Modelling of in utero Acoustics and Vibration

UCL Department: UCL Mechanical Engineering and UCL Medical Physics and Biomedical Engineering
Specific unit / Sub department: Ultrasonics Group
Grades: 7
Hours: Full Time
Salary (inclusive of London allowance): Grade 7 (£34,056 – £41,163 per annum)

Closing Date: Tuesday 28 Feb 2017

We are seeking a postdoctoral research associate to develop and validate computational models describing the propagation of acoustic waves from ex vivo and in vivo sources into the womb, and to help quantify their effects on the developing fetus. Using anatomical scans, meshes suitable for finite element and boundary element computing will be generated, and simulations will be launched on a high-performance computing platform. While it is expected that commercial and/or open source software will initially be used, a strong emphasis will be placed on computationally efficient algorithms and robust software development.

Further Details:
A job description and person specification as well as the application form can be accessed through the UCL HR website (ref: 1625617).

 

Research Associate / Senior Research Associate in Bio-Mechanical Modelling

UCL Department: Medical Physics and Biomedical Engineering
Specific unit / Sub department: Translational Imaging Group (TIG) / Centre for Medical Image Computing (CMIC)
Grades: 7 – 8
Hours: Full Time
Salary (inclusive of London allowance): Grade 7 (£34,056 – £41,163 per annum); Grade 8 (£42,304 – £49,904 per annum)

Closing Date: Friday 3 Feb 2017

This is an exciting opportunity for a researcher with skills in bio-mechanical modelling and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of a novel platform for fetal surgery.

We are seeking a post-doctoral research associate to work on developing bio-mechanical modelling techniques to build active fetus and mother-specific models that are required for surgical planning, and guidance during fetal intervention. The candidate will develop techniques for embedding physiological motion patterns into static computational models in order to plan the optimal port placement for surgical tools and their interaction with the fetus and surrounding anatomy. The candidate will also be in charge of integrating the developed algorithms into our surgery-planning platform.

This post is available for two years in the first instance.

For further details, view the vacancy and download the job description on the UCL Jobs website (ref. 1624804).

If you have any queries regarding the scientific content of the role, please contact Dr Tom Vercauteren.

Research Associate / Senior Research Associate in Real-time Interventional Image Computing and Clinical Integration for Endoscopic Fetal Surgery

UCL Department: Medical Physics and Biomedical Engineering
Project Title: Image-Guided Intrauterine Minimally Invasive Fetal Diagnosis and Therapy
Salary: UCL Grade 7, £33,353 – £40,313; Grade 8 £41,430 – £48,873 per annum inclusive of London Allowance

This is an exciting opportunity for an enthusiastic researcher with skills in real-time image computing and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of a novel platform for fetal surgery.

For further details please download and read the Job Description.

Interested applicants should contact Dr Tom Vercauteren with an up-to-date CV.

Research Associate in Interventional Multi-Modal Image Registration for Fetal Surgery (UCL Ref:1473460)

UCL Department: Medical Physics and Biomedical Engineering
Specific unit / Sub department: GIFT-Surg
Grade: 7
Hours: Full Time
Salary: (inclusive of London allowance) £33,353 – £40,313 per annum

Closing Date: Thursday 30th July 2015

This is an exciting opportunity for an enthusiastic researcher with skills in image computing and software development to join an internationally leading university research group. The aim of the project is to have an active role in the development, integration and translation of a novel platform for fetal surgery.

We are seeking a post-doctoral research associate to work on designing interventional tools for multimodal image registration in the context of fetal surgery. MRI is the modality of choice for surgical planning while real-time ultrasound is ubiquitous in OB/GYN. There is therefore a need for fusing the information gathered from the preoperative MR with the interventional data from the ultrasound.

Within GIFT-Surg a number of researchers are developing algorithms, imaging devices and surgical tools. Thus another important aspect of the multi-modal image registration task is to integrate the developed techniques into the unified GIFT-Surg software and hardware platform.

This post is funded for 2 years in the first instance.

Key Requirements:
The successful candidate will have a PhD in computer vision, medical image computing, biomedical engineering, or a comparable subject. Strong expertise in programming high-level languages (e.g. C/C++, Matlab) and specialise in at least two of the following areas: Image registration, medical image computing, detection and recognition, use of image computing/machine learning libraries and tools (ITK, scikit-learn, OpenCV, etc.) and/or machine learning.

Further Details:
A job description and person specification as well as the application form can be accessed through the UCL HR website (ref 1473460).

If you have any queries regarding this vacancy please contact Dr Tom Vercauteren on t.vercauteren@ucl.ac.uk. If you have any queries regarding the application process please contact Neha Shah on neha.shah@ucl.ac.uk.


Research Associate in Magnetic Resonance Imaging (UCL Ref:1461980)

Department: Division of Medicine
Grade: 7
Salary: £33,353 – £40,313 per annum

Closing Date: Wednesday 8th July 2015

We have an exciting opportunity for a PostDoctoral Research Associate (PDRA) at the interfaces between rapid imaging techniques, novel applications and clinical patient imaging. The PDRA will implement and develop rapid imaging methods applied to projects in fetal and hyperpolarized MRI.

The position is funded for 4 years in the first instance.

Key Requirements:

The successful candidate will have a strong background in MR Physics and a PhD or equivalent research experience in MRI physics, biomedical engineering, or a comparable subject, strong expertise in programming or using high-level languages or packages (e.g. C/C++, Matlab, OsiriX) and awareness of Good Clinical Practice (GCP) and ethics issues.

 


Research Associate/Senior Research Associate in Biomedical Engineering for Fetal Surgery

UCL Department: Medical Physics and Biomedical Engineering
Salary (inclusive of London allowance): £33,353 – £40,313 per annum

Closing Date: Wednesday 19th August 2015

We are seeking a post-doctoral research associate to work on the integration of a suite of novel imaging hardware, software and surgical tools into a unified platform that will provide unprecedented capabilities for fetal surgery. Within this large project, a number of researchers are developing new imaging instruments and surgical tools, such as fibre-optic ultrasound / photoacoustic probes, tracking devices, and dedicated actuators / stabilisers based on fluidic muscles. The successful candidate will join this unique team and bring his/her expertise to develop complete surgical systems that take advantage of the research done in the group.

In terms of software duties, the key role will be in designing and developing API’s to control and drive the hardware components within the surgical systems and integrating them within the software platform. This will require: (1) wrapping the low-level hardware drivers into a high-level library and automating the different necessary hardware controls, e.g. data acquisition, calibration pipeline, feedback loops, etc; and (2) processing the multimodal data streams together with pre-operative data such as MRI and 2D/3D ultrasound to assist in utero fetal surgical procedures. The position does not require experience of electronics development although understanding of the basis would be a plus.

In terms of surgical systems design, the project is ambitious and widely scoped and therefore there will be exciting opportunities to lead the development of novel surgical devices or methods e.g. for significantly extending our ability to estimate physiological parameters during surgery.

This post is funded for 2 years in the first instance.

Key Requirements:

The successful candidate will have a PhD (or equivalent industry experience) in Biomedical Engineering, Computer Science, Engineering, Physics, or a related subject and be able to demonstrate excellent engineering skills. They will also have demonstrable experience in programming and hardware-software integration. Previous experience in translating novel medical imaging or sensing modalities is highly advantageous.

In order to be considered for a grade 8 the candidate must have significant experience in the field as well as experience of leading a research team.