PONS-Early Career Award | Fudan-KCL Early Career Awards in Population
Neuroscience and Stratified Medicine (PONS-ECA) in Statistical Genomics and/or Computational Neuroscience, Fudan and KCL
Location |
|
Salary |
¥300k ~400k/year (£34k~£44k / year) |
Employment period |
4 years (2 years in |
Hours |
Full Time |
No. of Appointment |
Up to two appointments |
Department and Faculty:
Centre for Population
Neuroscience and Stratified Medicine (PONS) at the
Information about the PONS Early Career Award (ECA):
The PONS-ECA is a personal award for talented post-doctoral researchers to lead their own research plans and establish their own research interest and team to make the transition from post-doctoral researcher to independent investigator. This fellowship scheme provides competitive salaries, allowing fellows protected time to fully concentrate on their research, training and development. Applicants are expected to take advantage of the full four years' funding available.
We are seeking talented, energetic and highly motivated individuals with a track record of the highest standard in their respective fields and a very good command of the English language. He/she is expected to have a strong knowledge of statistical genomics and/or computational neurosciences, expertise in at least one major programming language (e.g. R, Matlab and Python), a deep familiarity with the application of statistical techniques to biological data and be experienced in several, but not all of the methods required in this programme.
The award aims at
applying and developing novel (multimodal) genomic and computational
neuroscience methodology to identify and characterise brain structural and
functional networks for mechanistic characterisation and stratification of
behaviour and mental disorders. The successful candidate will develop a
research programme developing comprehensive computational models to describe
and explain human behaviours and mental disorders based on multimodal -omics
information, such as genomics, epigenomics, transcriptomics and/or
computational neuroscience and neuroimaging. The research project will be based
upon large scale neuroimaging genomic datasets and innovative environmental
characterisations, including mobile Health and remote sensing satellite data.
The research will involve comparative analyses of big cross- sectional and
longitudinal datasets in Europe, US and
PONS-ECA offers a
unique opportunity to work with a worldwide network of collaborators and
develop cutting-edge approaches in the rapidly growing field of population
neuroscience in one of the leading research environments in
Key Objectives:
Take a leading role in the analysis of multimodal –omics data (e.g. genetics and MRI radiomics) and their relation to behavioural measures.
Apply statistical techniques to dimensionality reduction and prediction using –omics, neuroimaging and environmental data
Supervising and carrying out genetic and/or neuroimaging analyses, including gene expression, methylation, fMRI functional connectivity, data preprocessing etc.
The publication and dissemination of data arising from this project
Attend and present at academic meetings and contribute to the visibility of the project and its aims.
Work as a conscientious and committed member of the team in order to achieve the aims of the project
Liaise with the administrative team for the support of the project
Undertake any other reasonable duties that may be relevant to the role outline
Assist with the supervision of PhD and MSc candidates
Qualifications:
1) Researchers who will receive PhD soon or graduated within last five years.
2) Under 35 years old. Excellent candidates aged 35 to 38 may be considered.
3) Experience in analysing multimodal –omics (e.g. genetic, gene expression, epigenetics) and/or Neuroimaging (fMRI, structure MRI and DTI) data.
4) Experience and/or interest in behavioural imaging genetics and epigenetics.
5) Evidence of the ability to publish in high-impact scientific journals.
6) Very good English language skills.
Benefits:
1) The initial
employment period is 4 years with 2 years at the
2) Salary is ¥300k ~400k/year (£34k~£44k/year).
3) Additional research funding up to £23k provided to support researchers with excellent ideas and independent capability.
4) Opportunities to top-up salaries up to £10k / year with grant from Shanghai Government.
5) Opportunities to transfer to faculty position with start-up of £55k~£110k.
6) In accordance with
the policies of
Application Procedure:
Please send your application consisting of a personal statement and a CV in English language, as well as contact information of referees and PDF of key publications to wcheng.fdu@gmail.com【快捷投递:点击下方“立即申请/投递简历”,即刻进行职位报名】. For an informal discussion to find out more about the role please contact Prof Gunter Schumann: gunter.schumann@kcl.ac.uk or Dr Jia Tianye: tianyejia@fudan.edu.cn.
Additional Information
King's College London
is one of the top univerisites in the