Data Science Postdoctoral Researcher – HappyMums

Job title:

Data Science Postdoctoral Researcher – HappyMums

Company:

Job description

Offer DescriptionWe are offering an exciting postdoctoral position at the University of Barcelona, within the Artificial Intelligence in Medicine lab ( ). The selected researcher will focus on developing AI tools for understanding, predicting, and treating depression during pregnancy. The candidate will also support the tasks of data management and coordination amongst various consortia members.We offer:

• A research position in beautiful Barcelona and its Mediterranean climate.
• Research experience within a prestigious university (1st position in Spain).
• Cutting-edge research in AI for healthcare in one of the most dynamic research groups in Europe (12 active projects including an ERC grant).
• An international research environment by joining a multi-cultural team representing all continents.
• Opportunities to collaborate with international and inter-disciplinary collaborators as part of the European projects.
• Support in career development (e.g. grant applications, supervision of PhD students).
• Travelling opportunities to scientific events, project meetings and international stays.
• Freedom to independently conduct research and contribute with own ideas.
• Flexible working hours, with possibility to telework.
• Competitive salary equivalent to Assistant or Associate Professor at the University of Barcelona, depending on experience.
• Contract duration until the end of the projects (October 2026) with the possibility to extend the contract as part of other grants within the lab.

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

• Machine/deep learning algorithms.
• Biomedical data science.
• Medical image analysis.
• Excellent programming skills in Python and/or C++.
• Proficient English, both oral and written.
• Enthusiasm about research and medical applications of AI.
• Aptitude to work independently, lead project deliverables and meet deadlines.
• Good team spirit and participation to the lab’s scientific life.
• Aptitude to collaborate with local and international project partners (including technical and clinical collaborators).

Furthermore, knowledge in any of the following areas are desirable (but optional):

• Probability and statistics.
• Mathematics and/or applied mathematics.
• Bias detection and correction.
• Transfer learning and domain adaptation.
• Uncertainty estimation.
• Federated learning.
• Bioinformatics and/or Biomedical informatics.
• Biomedical engineering.
• Personalised and/or precision medicine.
• Digital health.

The research projects:You will join our AI for Exposome team, as part of ongoing projects such as HappyMums and Youth-GEMs, funded by the European Commission and focusing on prenatal, child, and adolescent mental health. In these projects, we are developing new trustworthy AI solutions for personalised medicine approach to tailor the care models in the field of mental health diseases. The project will build on a unique set of big data repositories to develop AI-based predictive models of mental illness trajectories and proof-of-concept tools on actionable targets. Should you join our team, you will collaborate with several technical and clinical partners within and outside Europe (e.g. in the Netherlands, United Kingdom, Germany, Spain, Ireland, Estonia, Italy, Croatia, Russia, Australia).The group:The successful candidate will join the Artificial Intelligence in Medicine Lab ( -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
25 enthusiastic academics, researchers, students and research managers, with expertise in data science, machine/deep learning, biomedical informatics, trustworthy AI, and health-related applications. The research group has an established track record in coordinating and participating in European and international projects (
10 million Euros over the last 5 years) in biomedical data science and medical AI (e.g. EuCanImage, euCanSHare, EarlyCause, LongITools, HealthyCloud, RadioVal, DataTools4Heart, Youth-GEMs, HappyMums, AI4HF).The institution: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 2022, Shanghai Ranking 2022). It is particularly interested in fostering international relations and, for many years, has managed an average of 150 European projects per year. The University of Barcelona is part of the prestigious League of European Universities Research (LERU).Gross salary per year: 43.000 €.RequirementsResearch Field Computer science Education Level PhD or equivalentSkills/Qualifications– Machine/deep learning– Predictive modelling– Multi-source data integration– Biomedical or bio-informatics– Excellent programming skills (e.g. in Python)– Excellent English, both oral and written– Ability to independently present resultsSpecific Requirements– Good team spirit and participation in the scientific life of the lab– Aptitude to work independently, to lead on project deliverables to co-supervise students, and to represent the lab at meetings and events– Aptitude to collaborate with both technical and clinical collaborators– Passion for applications of artificial intelligence to biomedicine– Strong writing and speaking skillsLanguages ENGLISH Level ExcellentResearch Field Computer science Years of Research Experience 4 – 10Additional InformationEligibility criteria– PhD in computer science, data science, mathematics, applied mathematics, physics, statistics, biomedical informatics, computer vision, medical image computing, biomedical engineering, or equivalent.– A publication record in relevant peer-reviewed journals and/or conferences.

• Adequacy of the CV (maximum 60)

– Specialised doctorate (40), generic doctorate (20)

• Letter of motivation (max. 10)

• Experience in the field (max. 30)

Minimum score to pass the selection process: 60/100Selection process– First selection based on CV and letter.– Interviews by a panel composed of Karim Lekadir, team members and Academicsfrom the University of Barcelona.Additional commentsDuration of the contract of employment:12 months, renewable up to 31/10/2026 (end of the project).The candidate proposed for hiring must accept the job offer within 5 working days from the date of notification of the selection.Priority will be given to people with disabilities (Law 89/2015 of June 2, reserve of quota 2% in favour of people with disabilities in companies of 50 or more people).Be aware that the starting date sets in this offer is an estimate date. The official starting date will depend on the bureaucratic time that will take the preparation of the labour contract and presentation of the necessary documents to be hired by the selected candidate.For additional information regards this offer, please, contact:Work Location(s)Number of offers available 1 Company/Institute Universitat de Barcelona Country Spain State/Province Barcelona City Barcelona Postal Code 08007 Street Gran Via de les Corts Catalanes, 585 GeofieldWhere to apply WebsiteContact State/ProvinceBarcelona CityBarcelona WebsiteStreetGran Via de les Corts Catalanes, 585. Postal Code08007 E-Mail[email protected]STATUS: EXPIRED

Expected salary

€43000 per year

Location

Barcelona

Job date

Sun, 24 Mar 2024 05:59:32 GMT

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