Postdoctoral Researcher Applying Deep Learning To Healthcare (R2) - Ai4S

Job Reference

542_24_LS_LS_R2



Position

Postdoctoral Researcher Applying Deep learning to Healthcare (R2) - AI4S



Closing Date

Monday, 30 September, 2024





Reference: 542_24_LS_LS_R2


Job title: Postdoctoral Researcher Applying Deep learning to Healthcare (R2) - AI4S



About BSC


The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.


Context And Mission


The field of medical imaging is rapidly evolving, with several key trends emerging in 2024. Growth in Advanced Imaging Techniques, Rise of Hyperspectral and Molecular Imaging, Integration of AI and Machine Learning, Focus on Patient-Centric Imaging and Emerging Technologies are just a few of the last trends in Medical Imaging. New technologies are being developed to improve imaging quality and efficiency, including 3D imaging and other innovative modalities. Deep /Machine learning technology indicates a significant transformation in how medical imaging is conducted, with a strong emphasis on technology, patient care, and improved diagnostic capabilities. Deep learning is a cutting-edge branch of artificial intelligence that empowers machines to learn from vast datasets and make intelligent decisions. By mimicking the structure and function of the human brain through artificial neural networks, deep learning algorithms excel at tasks such as image recognition, speech synthesis, and language translation. The Life Sciences department will incorporate a new research line to harness the potential of deep learning to drive innovation and solve complex problems across various domains using advanced Artificial Intelligence methods (Medical Imaging, Deep/Machine learning, Computer Vision, etc.). This new group is committed to boost the power of advanced imaging technologies to improve healthcare outcomes. From X-rays and MRI scans to CT scans and ultrasound, medical imaging plays a crucial role in diagnosis, treatment planning, and monitoring of various medical conditions. Through cutting-edge research and innovation, we aim to push the boundaries of what is possible in medical imaging, developing new techniques and algorithms to enhance image quality, reduce radiation exposure, and increase diagnostic accuracy. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s


Key Duties


Participate actively in the research lines of the group
Contribute to writing research proposals
Publish research findings in top-tier conferences and high impact journals.
Supervise junior researchers and provide mentorship in their career path.
Participate in technical meetings with internal and external collaborators.
Promote scientific dissemination and scientific activities in a team.


Requirements


Education

PhD in artificial intelligence, machine learning, computer vision, computer science, computational biology, bioinformatics, physics, mathematics or related fields.

Essential Knowledge and Professional Experience

Experience in image analysis, medical imaging and computer vision.
Proven excellent scientific publication track record.
Knowledge of UNIX/Linux environments
Proficiency in Python or equivalent programming languages
Deep knowledge in Deep learning frameworks (Pytorch, TensorFlow, Keras)
Participation in National and European projects.

Additional Knowledge and Professional Experience

Experience in Data science and Data-centric methodologies (Uncertainty modeling, Noisy data, etc.)
Experience in working with high performance computing environments
Background or interest in life sciences
Experience in Master and undergraduate students supervision.
Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous.

Competences

Capacity to explore new research lines
Excellent communication and presentation skills
Ability to work both independently, within a team and in a multicultural environment.
Capacity to communicate AI related topics to students




Conditions



The position will be located at BSC within the Life Sciences Department
We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance
Duration: 4 years
Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
Salary: 45.000,00 €
Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024





Applications procedure and process


All applications must be submitted via the BSC website and contain:

A full CV in English, including contact details.
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.

Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:


Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points


Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. -60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.


The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment (at) bsc (dot) es.
For more information, please follow this link.
Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc. BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law. For more information follow this link This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.





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