Data Science Postdoctoral Researcher for Machine Learning Based Disease Prediction from Large-Scale...

As part of the Youth-GEMs H2021 project, we offer an exciting data science

postdoctoral position at the Universitat de Barcelona and its Artificial Intelligence in

Medicine Lab (BCN-AIM). The selected researcher will develop algorithms and tools for

predictive modelling of individual-specific mental health and disease trajectories using

multi-factorial approaches, integrating biological, environmental and clinical

predictors. This position offers the opportunity to take part in the emerging fields of

both artificial intelligence and digital health.

We are thus seeking candidates with a PhD and expertise in an area pertinent to the

project and experience in machine learning, biomedical informatics, bioinformatics,

advanced statistics, computer science, digital health and/or programming.

Candidates must have excellent teamwork and communication skills, be enthusiastic

about their research, and have creative problem-solving skills. The successful candidate

is expected to be able to organise their work with minimal supervision, prioritise tasks

to meet project deadlines, and represent the lab at meetings. Due to continual

collaboration with Youth-GEMs consortium partners from across Europe, advanced oral

and writing English knowledge are required.

The Youth-GEMs H2021 project will leverage a unique collection of birth cohorts data,

other types of longitudinal data, and clinical registers to characterise mental health

trajectories and underlying interplay between genetic and environmental factors. A

key objective will be to empower help-seeking young people and clinicians in their

(self)assessment of mental health and prediction of future. The Youth-GEMs project

will also generate a body of new knowledge constituting a solid basis for a better and

deeper molecular neurobiological understanding of brain development and brain

(dys)functioning as well as for understanding genetic architecture in a trans-syndromal,

neurodevelopmental, environmentally influenced and neurobiological meaningful

context.

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 2020,

ARWU/Shanghai Ranking 2020). It is particularly interested in fostering international

relations and, for many years, has managed an average of 150 European projects per

2

year. Since January 2010, the University of Barcelona is part of the prestigious League

of European Universities Research (LERU).

The candidate with join the Artificial Intelligence in Medicine Lab (www.bcn-aim.org ),

which is an integral part of the University of Barcelona’s Faculty of Mathematics and

Computer Science. It is a young and dynamic research lab, highly active in international

projects, and composed of 20 enthusiastic academics, researchers, students and

research managers, with expertise in data science, machine/deep learning, biomedical

informatics, biomedical ethics, and health-related applications.

 Gross salary per year €35,00 - 40,000, depending on experience

How to apply

Required documents Application letter, Curriculum vitae, etc.

Send your application to: email anais.emelie@ub.edu

Name Anais Emelie

email subject Application – Youth-GEMs Data Science Postdoc