EPSRC Centre for Doctoral Training in Neurotechnology for Life and Health
Neurotechnology is the use of insights and tools from engineering, mathematics, physics, chemistry, and biology to investigate neural function and treat dysfunction. Brain-related illnesses affect more than two billion people worldwide, and the numbers are growing. Reducing this burden is a major challenge for society. The Centre for Doctoral Training in Neurotechnology for Life and Health will train a new generation of multidisciplinary researchers at the interface of neuroscience and engineering, to address this challenge.
The CDT spans the Faculties of Engineering, Natural Sciences and Medicine at Imperial College, with investigators from thirteen departments including Bioengineering, Brain Sciences, Chemistry, Computing and Electrical and Electronic Engineering. Directed by Dr Simon Schultz, Prof Bill Wisden and Prof Paul Matthews, it intends to admit up to 14 students per year. All research projects involve a team of supervisors, each of whom bring complementary expertise to the project. In addition to researchers from across Imperial College, the CDT involves twenty industry and charity partners, as well as satellite research groups at the Crick Institute, UCL and the University of Oxford.
Studentships begin with a one-year MRes in Neurotechnology, which forms an integral part of the four year training programme. During this year, students take 3 months of taught courses specially developed for the CDT, followed by laboratory rotations as part of a single research training project. After the first year, students enter the PhD phase having developed the interdisciplinary and technical skills to thrive in a cutting edge research environment, and make the most impact with their PhD. Throughout the programme, alongside their academic training, students benefit from additional CDT training elements, including professional skills development workshops, public engagement and outreach training, internships, conferences and seminars.
Applicants should be seeking to undertake a multidisciplinary 4-year research training programme at the interface between neuroscience and engineering. Candidates should have, or expect to obtain, a first or upper second class degree, or non-UK equivalent, in an engineering or physical sciences discipline. Students with a biological or medical sciences background will be considered in exceptional circumstances, provided they can demonstrate substantial quantitative skills.
All studentships are open to UK or EU* applicants who meet EPSRC eligibility criteria. A limited number of places is also available to UK or EU applicants, with no residency criteria.
*EU students starting their studies in 2017-18 will be eligible for Home-rate tuition fees for the duration of their course, so can still apply.
International (non UK/EU) candidates cannot be considered for funded studentships, but may be considered for alternative CDT projects if they can provide their own full funding for the 4 years. Interested candidates should visit the CDT website and contact their proposed supervisor(s) to discuss opportunities and alternative projects before applying.
Studentships cover tuition fees and a tax free stipend of approximately £16,000 per year. A generous annual allowance is provided for research consumables and for conference attendance.
Projects available for October 2017 start are listed below. Follow individual links for project details and instructions on how to apply. For more information on the CDT programme and full application details, please visit: www.imperial.ac.uk/neurotechnology/cdt
|A Robotic Instrument for Adaptive Neurostimulation||Details|
|AutoTRIAGE: a clinical, computational and biomechanical investigation of the feasibility of using vehicular event data recorders for assessing head trauma severity in collisions||Details|
|Development of a diagnostic battery for probing individual differences in network function||Details|
|High resolution imaging of multimodal nanoparticles for treatment of brain cancers||Details|
|Large scale population functional connectomic parcellation and individual variation||Details|
|Large-Area Flexible Plastic Electronic Sensor for 2D Neural Recording||Details|
|Mathematical and computational analyses of plastic spiking recurrent networks||Details|
|Monitoring muscle fatigue using novel wireless sensors||Details|
|Neuronal Interfacing System for Human Pluripotent Stem Cell Interrogations using Materials-based Nanotechnologies||Details|
|One-probe - a new device for non-penetrative monitoring of the injured brain||Details|
|Spinal motor neurons control of redundant robotic system||Details|
|The bionic spinal cord bridge: Combined therapies for neural regeneration||Details|