18/02/2020
Marie Skłodowska-Curie Actions

PhD studentship – Modelling cortico-subcortical oscillatory connectivity


  • ORGANISATION/COMPANY
    University College London
  • RESEARCH FIELD
    NeurosciencesNeurophysiology
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    30/04/2020 17:00 - Europe/London
  • LOCATION
    United Kingdom › London
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    36.5
  • OFFER STARTING DATE
    01/10/2020
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020 / Marie Skłodowska-Curie Actions
  • MARIE CURIE GRANT AGREEMENT NUMBER
    860563

Applications are invited for a 3-year funded PhD studentship in the Wellcome Centre for Human Neuroimaging (https://www.fil.ion.ucl.ac.uk/) under the supervision of Dr. Vladimir Litvak and Dr. Simon Farmer and in collaboration with the Computational Neuroscience Group (CNS, https://www.upf.edu/web/cns), led by Prof. Gustavo Deco, at the Center for Brain and Cognition (https://www.upf.edu/web/cbc), Pompeu Fabra University (Barcelona, Spain). The position is part of the EU-funded Innovative Training Network euSNN (“European School of Network Neuroscience”) and available, with full-time employment, for a duration of 3 years with immediate start.

 

The euSNN Innovative Training Network integrates 16 leading European groups in network neuroscience and 7 companies to train students who want to pursue a successful career in the field of network neuroscience. The euSNN training programme offers a unique combination of experimental, analysis and modelling approaches. Exploiting intense collaborations between experimental, theoretical and clinical groups, euSNN links basic research on large-scale brain dynamics with new pathophysiological approaches and clinical applications. The euSNN network is coordinated by Prof. Dr. Andreas K. Engel. Further information on the euSNN network can be found at http://eusnn.eu.

 

Project details

Deep Brain Stimulation (DBS) is an effective treatment method for a range of neurological and psychiatric conditions. It involves placing electrodes deep in a patient’s brain, usually in precisely targeted subcortical nuclei. DBS surgery affords a unique opportunity to study the neural activity of these nuclei via recording of local electrical signals known as local field potentials (LFP). Our group pioneered simultaneous recording of subcortical LFP with non-invasive whole brain imaging using magnetoencephalography (MEG). This makes it possible to map out cortico-subcortical oscillatory coherent networks which have characteristic frequencies and cortical topographies for each subcortical target. Over the years we collected data from several different subcortical nuclei and characterised their oscillatory networks. The aim of the proposed project is to establish a modelling framework which could accommodate these findings and make quantitative predictions for future experiments. This will require extending existing models of cortical dynamics and integrating information from additional imaging modalities such as functional MRI and Diffusion Tensor Modelling (DTI).

The euSNN training network offers exciting and unique opportunities for the student to pursue this project including interactions with top experts in neuroimaging brain modelling and exposure to several different modelling frameworks and approaches that the student will have to master and integrate to achieve the project’s goals. There might also be opportunities towards the end of the project to test some of the predictions experimentally. In addition, the student will have a chance to work on secondments with commercial companies on topics relevant to the project.

Funding notes

The starting date can be any date between being offered the position and 1st October 2020 and the contract is for 36 months. The studentship includes UK/EU tuition fees and a stipend along with additional funds to cover travel and accommodation during secondments and network activities. Overseas fees cannot be covered.

Entry requirements

Applicants should have an Honours Degree (minimum 2:1) in a quantitative discipline: Physics/ Mathematics/Engineering/Computer science, strong mathematical background and interest in neuroscience. Knowledge of scientific programming languages, particularly Matlab, background in modelling complex physical systems and a relevant Masters qualification is desirable. Applicants should be willing to travel to attend the network activities and spend prolonged periods of time (up to a few months at a time and at least 8 months in total) doing secondments outside the UK. Applicants must not have been residing in the UK for more than 12 months prior to the start of the appointment.

Deadline 30th April 2020. Shortlisted candidates will be interviewed in May.

How to apply:

Applicants should submit 1) a CV, 2) a 1-page statement detailing why you want to do the PhD, motivation, interest and suitability for the project, 3) a copy of your strongest single piece of academic work (e.g. thesis, publication), and 4) contact details of two referees. Please ensure that each document is clearly labelled with your surname. Please send all documents to Kamlyn Ramkissoon k.ramkissoon@ucl.ac.uk by 30th April 2020. Interviews will be held in May 2020. Informal enquiries are welcome to Dr Vladimir Litvak (email: v.litvak@ucl.ac.uk). 

Eligibility criteria

Applicants must not have been residing in the UK for more than 12 months prior to the start of the appointment.

Selection process

Applicants should submit 1) a CV, 2) a 1-page statement detailing why you want to do the PhD, motivation, interest and suitability for the project, 3) a copy of your strongest single piece of academic work (e.g. thesis, publication), and 4) contact details of two referees. Please ensure that each document is clearly labelled with your surname. Please send all documents to Kamlyn Ramkissoon k.ramkissoon@ucl.ac.uk by 30th April 2020. Interviews will be held in May 2020.

Offer Requirements

  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

Honours degree (minimum 2:1) in a quantitative discipline: Physics/ Mathematics/Engineering/Computer science.

MSc (or be close to obtaining) in Physics/Engineering/Computer Science/Neuroscience or a related discipline, or an equivalent level of industrial/commercial experience

Strong mathematical background

Experience in Matlab programming or ability to learn it within a short time

Familiarity with Python

Background in modelling of complex physical systems

Background in neuroscience

Specific Requirements

Strong practical and theoretical problem solving abilities

Excellent oral and written communication skills

Ability to learn new techniques and methods quickly

Ability to work individually and take the initiative, and function well as part of a team

Ability to prioritise and meet deadlines

Good inter-personal skills with an ability to work co-operatively in a multidisciplinary setting

Resourceful and able to act on own initiative

A commitment to supporting high quality research, including studies involving patients

Availability for travel and spending prolonged periods of time (up to a few months at a time and at least 8 months in total) doing secondments outside the UK.

Applicants must not have been residing in the UK for more than 12 months prior to the start of the appointment.

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
University College London
United Kingdom
London
WC1N 3AR
12 Queen Square

EURAXESS offer ID: 494188

Disclaimer:

The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.

 

Please contact support@euraxess.org if you wish to download all jobs in XML.