The Vall d´Hebron Institute of Oncology (VHIO) Seeks a “Research Physicist/Engineer to Join the Radiomics Group as PhD student in Magnetic Resonance Imaging”
Reference: Ref. 43-2021
Application deadline: 11/11/2021
Number of vacancies: 1
The Radiomics Group at Vall d´Hebron Institute of Oncology´s (VHIO), headed by Raquel Perez-Lopez (MD, PhD), is currently seeking to recruit a Research Physicist/Engineer to undertake a 3-year doctoral (PhD) degree in Magnetic Resonance Imaging (MRI).
The successful candidate will be involved in the development of advanced MRI acquisition protocols and image analysis techniques, including artificial intelligence (AI), for oncological applications. He will be supervised by Dr Raquel Perez-Lopez (MD, PhD Radiology, primary supervisor) and Dr Francesco Grussu (PhD MRI Physics, secondary supervisor).
This post is a great opportunity to be involved in cutting-edge MRI acquisition and analysis within the translational research environment of the Vall d’Hebron Institute of Oncology (VHIO), Barcelona (Spain). VHIO is a leading Comprehensive Cancer Centre dedicated to translational cancer research and one of the world-leading drug-development centres for cancer care.
The Radiomics Group at VHIO is focused on medical image processing and the extraction of imaging biomarkers for precision medicine towards improving cancer patients’ care.
Examples of research projects in which the candidate will be involved are listed below.
1) Development of MRI biomarkers for non-invasive senescence detection. Senescence is a state of a cell’s life in which proliferation stops, and plays a key role in cancer drug development. The candidate will be involved in setting up advanced diffusion MRI acquisition and analysis protocols on a preclinical 9.4T scanner, with the aim of estimating cellular properties carrying a signature of senescence (e.g., cell size) non-invasively. The most promising preclinical protocols will be tested in clinical MRI settings at the Vall d’Hebron hospital.
2) Development of artificial intelligence (AI) algorithms for quality enhancement of clinical MRI. This project will be carried out on a rich data base of advanced and clinical 1.5T whole body diffusion MRI data, acquired on the same volunteers, which will be processed with AI methods such as convolutional neural networks (CNNs).
3) MRI-histology comparisons. The candidate will have access to co-localised histology (e.g., digitised multiplex immunohistochemistry images) and clinical/preclinical diffusion MRI data (e.g., time-dependent multi-shell scans), which will enable the validation of MRI biomarkers developed by the candidate against histological ground truth.
4) Design of MRI acquisition protocols based on computer simulations. The candidate will be involved in optimising the MRI acquisition protocols employed by the Radiomics group in clinical studies using numerical methods, such as Monte Carlo simulations. The Radiomics Group at VHIO is committed to the continue training of their scientists and a personal training and development plan will be agreed with the candidate. As the group expands, the candidate will progressively acquire a supervision role over pre-doctoral students and other junior investigators.
- Degree in any of Physics, Biomedical Engineering, Mathematics, Computer Science, or related disciplines (Master’s level).
- Good Python programming and Unix shell scripting skills.
- Basic knowledge in MRI theory and machine learning.
- High proficiency in spoken and written English.
- Previous experience in MRI acquisition and/or analysis projects.
- Previous experience in machine learning projects.
An organized and motivated, team-oriented individual. Knowledge in MRI, computer science/machine learning and medical translational research will be positively considered.
The post-holder will be encouraged to initiate and lead research projects according to his/her interests in line with the group research strategy.
The candidate is expected to be highly proficient in spoken and written English. The candidate will progressively be involved in preparing grant proposals and scientific manuscripts.
Potential candidates should submit a curriculum vitae and letter of intent via email addressed to Raquel Perez-Lopez: firstname.lastname@example.org
Under the leadership of Josep Tabernero, the Vall d’Hebron Institute of Oncology (VHIO), has established itself as a comprehensive cancer center of proven excellence internationally. It is also thanks to VHIO’s optimal organizational structure based on a purely multidisciplinary and translational model that VHIO talents continue to anticipate and tackle the many unresolved questions in combatting this multifaceted and heterogeneous disease.
Located within the Vall d’Hebron Barcelona Hospital Campus, our researchers closely collaborate and interact with Vall d’Hebron physician-scientists. Translational science and clinical research are therefore tightly connected which promotes superb interaction and teamwork which, in turn, accelerates the bench-bedside-bed cycle of knowledge. This privileged environment affords VHIO direct access to patients as well as the entire spectrum of oncology professionals who care for them, and a second-to-none appreciation of how cancer science can translate into more powerful, targeted treatments and better practice for the care of patients.
VHIO’s pioneering model and programs, coupled with its belief in combining strengths through cross-border collaborations, continue to spur advances in reversing cancer resistance, halting metastatic spread, and more effectively treating even the most undruggable tumor types.
VHIO’s translation toward precision oncology: https://www.vhio.net
Vall d’Hebron Institute Oncology (VHIO) endorses the Requirements and Principles of the European Charter for Researchers, the Code of Conduct for the Recruitment of Researchers promoted by the European Commission and follows Equal Opportunities policies.
On 10th April 2018 VHIO was awarded the “HR Excellence in Research” logo. Our Institute was consequently granted permission to use the HR Excellence in Research Award logo as demonstration of its stimulating and favourable work environment in line with the Charter & Code.