Postdoctoral Researcher at the Computational Clinical Imaging Group Lisboa

Postdoctoral Researcher at the Computational Clinical Imaging Group
Lisboa
Lisboa, Lisboa, Portugal

Postdoctoral Researcher at the Computational Clinical Imaging Group

Offer Description

The selected candidate will participate in developing and deploying
- and
- learning models to analyse clinical imaging data and streamline clinical imaging processes. This position will include a broad range of tasks, including:

1. Training
   - learning models for clinical imaging data which can be used to assist in diagnosis and prognosis;
2. Develop useful tools to
   - process clinical imaging data and validate clinical imaging prediction models;
3. Develop and design research programs in the fields of
   - and
   - learning for clinical imaging;
4. Help in writing grant proposals to acquire funding at both a national and European level;
5. Work in close collaboration with our development team to deploy these models to a custom clinical artificial intelligence software program;
6. Assist students (at Ph
   D, MSc. and BSc. levels) in designing and developing exciting and useful research projects.

Competitive remuneration package commensurate with skills, qualifications and experience.

Full immersion into a research excellence ecosystem with highly motivated researchers, supported by
-
-
- art technology (access to multiple GPU cards) and continuous development opportunities.

Duration

Maximum allowable duration of the contract including the respective renewals OR Initial duration: 18 months with possibility of renewal.

Research Fields

Engineering, Computer science, Technology

Skills/Qualifications

Essential skills

1. Good knowledge of computational clinical imaging analysis (familiarity of techniques, file formats, file processing) or willingness to learn at a fast pace;
2. Python;
3. Py
   Torch (preferably) or other
   - learning frameworks for Python;
4. scikit-learn for
   - learning in Python;
5. Data analysis tools (pandas and/or polars for Python);
6. Statistical analysis (hypothesis testing, multivariate analysis);
7. Computational clinical imaging processing (with Simple
   ITK, ITK, pydicom) and registration (using (Simple)Elastix/Transformix) in Python;
8. Docker;
9. Ability to work independently and in coordination with other members in the group and clinicians;
10. Proven track record in conducting research, including designing, executing, and interpreting experiments, as demonstrated by previous publications (with at least one first author publication from graduate school);
11. Excellent organisation skills and a proactive,
    - oriented attitude;
12. A collaborative mindset and motivation to work at an international and interdisciplinary environment;
13. Good capacity for team work, critical thinking and organisational and communication skills;
14. Excellent level of English.

Desirable skills that will also be considered:

1. Generative modelling (using
   - encoders, generative adversarial learning or diffusion models);
2. R or other programming languages;
3. Large language model stack (Lang
   Chain or similar alternatives,
   - augmented generation, work with popular APIs such as Open
   AI, Mistral, etc. );
4. Data visualisation and cleaning;
5. SQL;
6. Familiarity with popular
   - learning medical imaging frameworks such as nn
   UNet or MONAI;
7. Machine-learning operations frameworks (such as mlflow or wandb);

Eligibility criteria

National, Foreign or Stateless candidate(s) who hold a Ph
D degree in computational clinical imaging, computer science, biomedical engineering 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 Ph
D 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 call. Candidates meeting minimum requirements will be scored according to the required application materials: CV: 50%, motivation letter: 25%, and interview: 25%.

If provided, and if shortlisted, candidates’ referees may be contacted and may count towards evaluation.

Application materials

1. CV and letter of motivation indicating 2 references (one single pdf document).
2. 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.

How to apply

1. Candidates must complete the standard application form and submit a single annexed PDF document containing the application materials stated in the call.
2. The call reference will be asked and not having may invalidate your submission. This call reference is: Ph
   D Papanikolaou Apr2025.
3. 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 results

All 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 (careers@research. fchampalimaud. org). If no claim is received by the Champalimaud Foundation, the Evaluation Committee's decision will become definitive.

Additional comments

Research 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
- 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 Information

In 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
- making.

Legal Notices

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.