24/01/2020

Advanced statistics and machine learning for integrative and dynamic predictive modelling of health and disease from multi-source biomedical data

This job offer has expired


  • ORGANISATION/COMPANY
    Universitat de Barcelona
  • RESEARCH FIELD
    Computer science
    Mathematics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    21/02/2020 00:00 - Europe/Athens
  • LOCATION
    Spain › Barcelona
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    37,5
  • OFFER STARTING DATE
    15/03/2020
  • EU RESEARCH FRAMEWORK PROGRAMME
    H2020

As part of the EarlyCause H2020 project, we offer an exciting PhD student position at the Universitat de Barcelona and its DataScience@UB centre, to develop algorithms and tools for predictive modelling of individual-specific health and disease trajectories using multi-factorial approaches, integrating biological, environmental and clinical determinants.

Precisely you will be joining the Barcelona Artificial Intelligence in Medicine LAb (BCN-AIM), a young and dynamic research group, aiming to enhance medical care through big data-enabled AI.

We are seeking a candidate with a Msc degree (or equivalent) in an area pertinent to the project, such as applied mathematics, advanced statistics, machine learning, data science, programming using C++/Python, and/or biomedical informatics. We are looking for highly motivated candidates with strong interests in mathematical and computational applications in biomedicine. Candidates must have excellent teamwork and communication skills, and be enthusiastic about their research. Due to multiple collaborations within the EarlyCause project with consortium partners from Europe, advanced oral and writing English knowledge are required. Female applicants are explicitly encouraged to apply.

 

The EarlyCause H2020 project will leverage a unique collection of birth cohorts, longitudinal data and experimental models to identify causative mechanisms linking early life adversity (in children and pregnant women) to multi-morbidity development. Concretely, the project will focus on depression and two of its main physical comorbidities, namely coronary heart disease and diabetes. The consortium will disentangle the complex biological contributions from four key interconnected domains linked to ELS, namely epigenetics, inflammation, neuroendocrine system, and microbiome. Furthermore, modifying effects of environmental factors such as sex/gender, socioeconomics, lifestyle and behaviour will be quantified, thus uncovering potential intervention targets that may reverse the causative mechanisms and reduce the impact of ELS on multi-morbidity development in high-risk individuals.

To achieve the goals of the project, this highly multi-disciplinary and experienced consortium will combine state-of-the-art and novel approaches from basic, pre-clinical and clinical research, including advanced statistical and mathematical methods, animal models of prenatal and postnatal stress, cellular models in various tissues, and integrative bioinformatics and machine learning methods. The consortium members will also enable access and exploitation of the largest set of European cohorts, comprising rich information on early stressors, biological and omics data, as well as depressive, cardiovascular and metabolic clinical outcomes.

 

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

EarlyCause

FBG project number

402 158

Project title

Causative mechanisms and integrative models linking early-life-stress to psycho-cardio-metabolic multi-morbidity

IP

Karim Lekadir

Department

Departament de Matemàtiques I Informàtica

 

Gross salary per year

18,000€

 

Required documents

Application letter, Curriculum vitae, etc.

Send your application to:

email

katharina.f.heil@ub.edu

Name

Katharina Heil

email subject

Application – EarlyCause PhD

Eligibility criteria

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

Selection process

- First selection based on CV and letter

- Interviews by a panel of academics from the University of Barcelona (via skype or in person)

- Possible invitation to on-site interview with a short presentation

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Computer science: Master Degree or equivalent
    Mathematics: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Excellent

Skills/Qualifications

- Machine/deep learning

- Predictive modelling

- Applied mathematics

- Error / uncertainty estimation

- Biomedical informatics

- 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 collaborate with both technical and clinical collaborators

- Passion for applications of artificial intelligence to biomedicine

- High motivated for research

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

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EURAXESS offer ID: 484426

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