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Position: 2 x PhD Studentships in Medical Physics & Biomedical Engineering
Institution: University College London
Department: Medical Physics and Biomedical Engineering
Location: London, United Kingdom
Duties: We are looking for a motivated and talented student to play a critical role in advancing and applying a new generation of wearable brain imaging systems. Our group is a world leader in Diffuse Optical Tomography (DOT): a technique that uses near-infrared light to produce 3D images of brain function. We have recently developed range of wearable DOT technologies that make it possible to image human brain function in almost any environment. The successful candidate will play a key role in the translation of a new version of this technology to the neonatal clinic, to image the brain of newborn infants at risk of cerebral palsy
Requirements: Applicants are expected to have a good first degree in a physics, engineering or mathematics at 2: 1 or above. Experience in optics, numerical computing and programming in languages such as C/C++ will be advantageous. Applicants must be interested in imaging technologies, particularly as applied to neuroscience and healthcare. They must also have an interest in data analysis, and have the ability to communicate complex ideas to a range of audiences. Applicants must have a first degree in an appropriate engineering discipline: Physics, Biomedical Engineering or a related subject, passed at a 2: 1 level or above. Proficiency in applied mathematics, Matlab or other programming experience are a distinct advantage
   
Text: 2 x PhD Studentships in Medical Physics & Biomedical Engineering, - Ref:1737444 Click here to go back to search results UCL Department / Division Medical Physics and Biomedical Engineering Location of position London Duration of Studentship 4 years Stipend ?16,777 per annum plus UK/EU Fees Vacancy Information The Department of Medical Physics & Biomedical Engineering at UCL is inviting applications for 2 PhD studentships from separate areas based in the department. UCL?s department of Medical Physics and Biomedical Engineering is an ideal place to undertake this type of research. There is a strong core of researchers working on both the theoretical and experimental aspects of biomedical imaging and there are strong links with clinicians at UCLH ensuring the impact of department?s work is maximised. The Department of Medical Physics and Biomedical Engineering holds an Athena Swan Bronze Award which recognizes and celebrates good practice and commitment to advancing women's careers in science, technology, engineering, maths and medicine (STEMM) in higher education and research. The award reflects our commitment to the advancement and promotion of diversity and equality. For further information please visit http://www.ucl.ac.uk/medphys/women-in-medical-physics First Title: Developing a rigorous modelling platform for biomedical optical imaging. Second Title: Advancing wearable optical neuroimaging technologies for neuroscience and neonatal clinical monitoring Studentship Description Developing a rigorous modelling platform for biomedical optical imaging The project supervisor (Dr Peter Munro) has developed the first three-dimensional model of image formation in optical coherence tomography based on Maxwell?s equations. The core of this model is a numerical solution to Maxwell?s equations capable of modelling light propagation in tissue volumes large enough to be of practical relevance. The challenge now is to further increase these volumes so that fundamental questions related to imaging deep in tissue can be addressed. This will be achieved through a combination of algorithmic and computational enhancements and will constitute a significant portion of this PhD project. Having extended the computational model, there exist a number of research questions in biomedical optical imaging that are waiting to be addressed. These include questions in optical coherence tomography and photoacoustic imaging. The choice of which applications to pursue is flexible and will depend on which is most compelling. This part of the project will be done in close collaboration with researchers working on the biomedical imaging technique of choice, or its application in the clinic. This project is very exciting as it will enable a range of currently open research questions to be answered using computational approaches. It also comes at a time when computational models of image formation are needed for use by machine learning and artificial intelligence applications. Advancing wearable optical neuroimaging technologies for neuroscience and neonatal clinical monitoring We are looking for a motivated and talented student to play a critical role in advancing and applying a new generation of wearable brain imaging systems. Our group is a world leader in Diffuse Optical Tomography (DOT): a technique that uses near-infrared light to produce 3D images of brain function. We have recently developed range of wearable DOT technologies that make it possible to image human brain function in almost any environment. The successful candidate will play a key role in the translation of a new version of this technology to the neonatal clinic, to image the brain of newborn infants at risk of cerebral palsy. As a result, this PhD offers an opportunity to learn about, and develop expertise in areas as diverse as biomedical engineering, image acquisition, advanced data analysis, software development, wearable electronics, neuroanatomy and neuropathology. This position will also allow the student to develop the skills required to work successfully in an interdisciplinary team of physicists, engineers and clinicians. Person Specification A four year PhD studentship funded by the Royal Society is available to embark on an exciting project developing a computational platform for application in cutting edge biomedical imaging techniques, including optical coherence tomography and photoacoustic tomography. This project has two primary aims: to significantly increase the volumes of tissue within which light propagation can be modelled and to apply this model to address current challenges in biomedical imaging. The project will suit a student with a strong background in maths or physics, with programming experience a plus. Applicants are expected to have a good first degree in a physics, engineering or mathematics at 2:1 or above. Experience in optics, numerical computing and programming in languages such as C/C++ will be advantageous. Applicants must be interested in imaging technologies, particularly as applied to neuroscience and healthcare. They must also have an interest in data analysis, and have the ability to communicate complex ideas to a range of audiences. Applicants must have a first degree in an appropriate engineering discipline: Physics, Biomedical Engineering or a related subject, passed at a 2:1 level or above. Proficiency in applied mathematics, Matlab or other programming experience are a distinct advantage. Eligibility Please make it clear in your application which studentship you are applying for. Funding will be for 4 years, with a tax free stipend of ?16,777 per year plus UK/EU-level university fees. Outstanding students from outside the EU may apply if they have funding to support international fees. The closing date is 31st July 2018 and the anticipated start date is Autumn 2018. If you have any scientific queries please contact Dr Peter Munro: p.munro@ucl.ac.uk/ 020 7679 7760. If you have any scientific queries please contact Dr Robert J Cooper: Robert.cooper@ucl.ac.uk Applications (including a covering letter, CV and names of two referees) should be sent to Miss Mohini Nair ( m.nair@ucl.ac.uk ), Medical Physics and Bioengineering, who will also be happy to handle any informal enquiries. Further information on the research is available at: www.ucl.ac.uk/medphys/research/axim http://www.ucl.ac.uk/medphys/research/borl Contact name Mohini Nair Contact details m.nair@ucl.ac.uk UCL Taking Action for Equality Closing Date 31 Jul 2018 Latest time for the submission of applications 5pm Interview date TBC Studentship Start Date 24th October 2018
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