The selected candidate willParticipate in the development of Deep Learning based models and Radiomics Signatures that will be extracted from Medical Imaging examinations including but not limited to mpMRI in patients with prostate cancer, MR Mammography, Contrast Enhanced Mammography in patients with breast cancer, Contrast Enhanced CT scans in patients with pancreatic or liver primary and secondary cancer. The projects that the candidate will be involved in are multicentric studies both at a national and international level providing diverse data with a strong intention of translating research results to the clinics.
Research FieldComputer science » Other
PhD or equivalent - First Stage Researcher (R1) / Recognised Researcher (R2)
Skills/Qualifications- 1st degree in Biomedical Engineering or Computer Science or Statistics;
- Ph.D. in computer science with an emphasis on medical imaging analysis.
Essential skills- Prior experience in radiomics and deep learning projects in medical imaging;
- Prior experience in Natural Language Processing models.
Required LanguagesFluency in English - Excellent level
Employment Details- Competitive remuneration package commensurate with skills, qualifications, and experience.
- Full immersion into a research excellence ecosystem with highly motivated researchers, supported by state-of-the-art technology and continuous development opportunities.
- The monthly remuneration will be up to 4.000€ depending on experience level/qualifications demonstrated.
- 24 months with the possibility of renewal.
Eligibility criteriaNational, Foreign or Stateless candidate(s) who hold a PhD degree in Biomedical Engineering, Medical Physics, Computer Science, Biostatistics or other related scientific areas and a scientific and professional curriculum that reveals a profile appropriate to the activity to be developed. In case of PhD degrees awarded by foreign higher education institutions, the degree must comply with the provisions of Decree-Law No. 341/2007, of 12th of October, and all formalities established therein must be fulfilled by the deadline for application submission.
Selection process- Candidates will be screened to determine eligibility based on minimum qualifications listed in the call. Candidates meeting minimum requirements will be scored according to the required application materials: CV 70% weighting, motivation letter 20%, interview 10% (in case of a tie);
- If provided, and if shortlisted, candidates' referees may be contacted and may count towards evaluation.
When tied, top candidates will be interviewed (in person or remotely). The result of the interview is then the sole evaluation criteria (basic documentation required). If no tie, holding of interviews at the discretion of the Evaluation Committee.
Evaluation Committee members- Nickolas Papanikolaou
- Celso Matos
- Noam Shemesh
Application materials- CV and letter of motivation indicating 2 references (one single pdf document).
- Proof of qualifications (certificates) may be required at a later date for the formalisation of the contract agreement. Degrees obtained abroad may need to be formally recognised in Portugal;
- Optional to also require: portfolio of prior relevant projects (Github repo).
How to apply- Candidates must complete the standard application form and submit a single annexed PDF document containing the application materials stated in the call.
- The call reference will be asked and not having it may invalidate your submission. This call reference is: PD Papanikolaou Jan23.
Applications are also accepted in paper, sent or handed to the Fellows Support Office at the Champalimaud Centre for the Unknown, Avenida Brasília, 1400-038 Lisbon, Portugal.
Notification of resultsAll candidates will receive a receipt of acknowledgment within 7-10 business days. The highest scoring candidate will be notified by email or telephone. All other candidates will be notified solely by email of the final outcome of the recruitment process.
After being notified, candidates will have 10 working days to present a claim for redress by email (******). If no claim is received by the Champalimaud Foundation, the Evaluation Committee's decision will become definitive.
About UsResearch is at the heart of the Champalimaud Centre for the Unknown, a modern research and clinical facility situated on the waterfront in Lisbon, Portugal. The goal of Champalimaud Research (CR) is to perform world-leading fundamental and translational research. Current research work is focused on the fields of neuroscience, physiology, and cancer. Champalimaud Research comprises a team of over 400 scientists from around the world. English is the official language of the Centre. Lisbon's sunny Atlantic Mediterranean climate, vibrant culture, and high quality of life make this a great place to live and work.
Relevant Institutional InformationIn line with our community guidelines and Equality, Diversity and Inclusion policy and Gender Equality Plan, no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are irrelevant to decision-making.
The present call has the sole purpose of filling the indicated research position. This call may be canceled at any time on or before the jury's evaluation of all eligible candidates and the recruitment process shall be concluded on the day of the full execution of the contract between the Champalimaud Foundation and the selected candidate.
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