The Artificial Intelligence in Medicine Lab is offering an exciting postdoctoral position at the
University of Barcelona to develop new trustworthy AI algorithms for image-based prediction of treatment response in breast cancer.
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 (minimum two years), with the possibility to extend the contract as part of other grants within the lab
Requirements:
- 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
- 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)
Desirable but optional skills:
- 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
Work conditions:
- Full time position
- Gross salary per year: €35,000 - €45,000 (depending on experience)
- At least two years, with possibility to extend
Each application will be reviewed individually, hence motivated and talented candidates who do not fulfil all requirements may be considered.
We ensure equal employment opportunity without any discrimination based on sex,gender, age, nationality, ethnicity, religion, sexual orientation, disability, civil status, parentalstatus, pregnancy, childbirth or any medical condition.
The research projects:
You will join our 'AI for Cancer Imaging' team, as part of ongoing projects such asEuCanImage (www.eucanimage.eu) and RadioVal (www.radioval.eu), funded by theEuropean Commission and coordinated by our lab. In these projects, we are developing newtrustworthy AI methods for image-based estimation of treatment response in breast cancer.In particular, we are interested in new AI models which, once applied in real-world practice,will be fair across population groups, generalisable across clinical sites, robust againstimaging variations, explainable for clinical use, and respectful of data privacy.
Hence, we are investigating a wide range of approaches, including transfer learning, bias correction,domain adaptation, generative modelling, uncertainty estimation, explainable AI andfederated learning. Should you join our team, you will collaborate with several technical andclinical partners within and outside Europe (e.g. in the Netherlands, Greece, Spain,
Sweden,Poland, the USA, Argentina, Egypt).
Apply now:
Send your CV and cover letter to : paloma.fernandez@ub.edu with the subject:'Postdoc position - AI Cancer Imaging'
More information about the lab: www.bcn-aim.org
PIs: Karim Lekadir and Oliver Diaz