14/10/2019

Advanced statistics and machine learning for large-scale, multi-centre and integrative biomedical image analysis

This job offer has expired


  • ORGANISATION/COMPANY
    Universitat de Barcelona
  • RESEARCH FIELD
    Computer science
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    17/11/2019 00:00 - Europe/Athens
  • LOCATION
    Spain › Barcelona
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37,5
  • OFFER STARTING DATE
    07/01/2020
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020

OFFER DESCRIPTION

As part of the euCanSHare H2020 project, we offer an exciting postdoctoral position at the Universitat de Barcelona and its DataScience@UB centre, to develop algorithms and tools for large-scale and multi-study image/radiomics and integrative quantification. We are thus seeking candidates with a PhD in an area pertinent to the project and experience in statistics, machine learning, data integration, radiomics, medical imaging, software development, programming using C++/Python, and/or bioinformatics. The successful candidate is expected to be able to organise his/her work with minimal supervision and prioritise work to meet deadlines of the project. Due to multiple collaborations within the euCanSHare project with consortium partners from Europe and Canada, advanced oral and writing English knowledge are required.

 

The euCanSHare H2020 project will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-study personalised medicine research in cardiology. Initially populated with 35 European and Canadian cohorts (corresponding to over one million records), the platform will include extensive functionalities for data deposition, data harmonisation and data analysis. The features of the platform will be demonstrated and adjusted through several use cases, including for investigating diabetic cardiomyopathy, myocardial infarction and stroke using multi-factorial and multi-omics integrative approaches. The data analysis module of the platform will offer tools for cardiac image segmentation, cardiac quantification, and data quality control, as well as bioinformatics and machine learning capabilities.

 

The University of Barcelona (UB), founded in 1450, is one of the oldest universities in Spain. It comprises a student body of 84,370 and 4,548 research staff members. With 73 undergraduate programs, 273 graduate programs and 48 doctorate programs, UB is the largest university in Barcelona and Catalonia. The UB is ranked the first Spanish university according to several rankings (QS World University Rankings 2018, ARWU/Shanghai Ranking 2018). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. Since January 2010, Universitat de Barcelona is part of the prestigious League of European Universities Research (LERU). The research will be carried within the DataScience@UB research section, which is an essential part of the Departament de Matemàtiques i Informàtica. DataScience@UB is composed of 15 highly experienced academics in artificial intelligence, computer vision, medical imaging, machine/deep learning, and health-related applications.

 

Acronym

euCanSHare

FBG project number

402143

Project title

An EU-Canada joint infrastructure for next-generation multi-Study Heart research

IP

Karim Lekadir

Department

Departament de Matemàtiques i Informàtica

 

Gross salary per year

40,000€

 

Required documents

Application letter, Curriculum vitae, etc.

Send your application to:

email

karim.lekadir@ub.edu; cc: katharina.f.heil@ub.edu

Name

Karim Lekadir

email subject

Application – euCanSHare PostDoc

More Information

Eligibility criteria

- PhD in computing, mathematics, statistics, applied mathematics, biomedical engineering, or equivalent

- A publication record in relevant and refereed journals

Selection process

- First selection based on CV and letter

- Interviews by a panel of permanent academics from the University of Barcelona

Additional comments

Priority will be given to people with disabilities.

Female candidates are encouraged to apply.

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: PhD or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

- Machine/deep learning

- Medical image analysis and/or radiomics

- Predictive modelling

- Multi-source data integration

- Error / uncertainty estimation

- Excellent programming skills in Python and/or C++

- Excellent English, both oral and written

Specific Requirements

Good team spirit and participation to the scientific life of the lab

- Aptitude to work independently, to lead on project deliverables and to co-supervise students

- Aptitude to collaborate with both technical and clinical collaborators

- Passion for applications of artificial intelligence to biomedicine

Work location(s)
1 position(s) available at
Universitat de Barcelona
Spain
Barcelona
Barcelona
08007
Gran Via de les Corts Catalanes, 585.

Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)

Know more about it at Universitat de Barcelona

Know more about OTM-R

EURAXESS offer ID: 454387

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