Post-doctoral researcher at the Computational Clinical Imaging Group

euraxess.ec.europa.eu - Jobboard; Portugal; Presencial; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A leading research institution in Lisbon is offering a PhD position focused on developing machine-learning models for clinical imaging. The successful candidate will work closely with a collaborative team, assist in grant writing, and engage in cutting-edge research. Excellent command of English and familiarity with relevant technologies are required. Competitive remuneration and a vibrant academic environment await.

Serviços

Competitive remuneration package

Access to state-of-the-art technology

Continuous development opportunities

Qualificações

• Familiarity with computational clinical imaging techniques and file processing.
• Proven track record in conducting research with publications.
• Ability to work independently and in coordination with others.

Responsabilidades

• Develop and deploy machine-learning models for clinical imaging.
• Assist in writing grant proposals for funding.
• Collaborate with development team to deploy AI models.

Conhecimentos

Good knowledge of computational clinical imaging analysis

Python

PyTorch (preferably)

scikit-learn

Data analysis tools (pandas and/or polars)

Statistical analysis

Docker

Excellent level of English

Formação académica

PhD in computational clinical imaging, computer science, biomedical engineering or related areas

Ferramentas

SimpleITK

ITK

pydicom

Elastix/Transformix

Descrição da oferta de emprego

Organisation/Company Champalimaud Foundation

Research Field Computer science » Other Technology » Other Engineering » Other Biological sciences » Other

Researcher Profile Recognised Researcher (R2)

Positions PhD Positions

Country Portugal

Application Deadline 31 Dec 2025 - 05:00 (Europe/Lisbon)

Type of Contract Other

Type of Contract Extra Information Fellowship Contract

Job Status Full-time

Hours Per Week 40

Is the job funded through the EU Research Framework Programme? Other

EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Offer Description:

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

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

Department: Champalimaud Research | Computational Clinical Imaging Group

Number and type of fellowships or contracts to be awarded: 1 fellowship

Expected position starting date: June 1st, 2025, or until a candidate is selected

Skills and requirements

• Good knowledge of computational clinical imaging analysis (familiarity of techniques, file formats, file processing) or willingness to learn at a fast pace;
• Python;
• PyTorch (preferably) or other deep-learning frameworks for Python;
• scikit-learn for machine-learning in Python;
• Data analysis tools (pandas and/or polars for Python);
• Statistical analysis (hypothesis testing, multivariate analysis);
• Computational clinical imaging processing (with SimpleITK, ITK, pydicom) and registration (using (Simple)Elastix/Transformix) in Python;
• Docker;
• Ability to work independently and in coordination with other members in the group and clinicians;
• 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);
• Excellent organisation skills and a proactive, goal-oriented attitude;
• A collaborative mindset and motivation to work at an international and interdisciplinary environment;
• Good capacity for team work, critical thinking and organisational and communication skills;
• Excellent level of English.

Desirable skills that will also be considered:

• Generative modelling (using auto-encoders, generative adversarial learning or diffusion models);
• R or other programming languages;
• Large language model stack (LangChain or similar alternatives, retrieval-augmented generation, work with popular APIs such as OpenAI, Mistral, etc.);
• Data visualisation and cleaning;
• SQL;
• Familiarity with popular deep-learning medical imaging frameworks such as nnUNet or MONAI;
• Machine-learning operations frameworks (such as mlflow or wandb);

Languages ENGLISH Level Excellent

Additional Information

• 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 (access to multiple GPU cards) and continuous development opportunities.
• Maximum allowable duration of the contract including the respective renewals OR Initial duration: 18 months with possibility of renewal

Eligibility criteria

National, Foreign or Stateless candidate(s) who hold a PhD 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 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 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.

Evaluation Committee members: Nikolaos 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 formalization of the contract agreement. Degrees obtained abroad may need to be formally recognized in Portugal.

How to apply:

Candidates must complete the standardapplication 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 may invalidate your submission. This call reference is:"PhD Papanikolaou Apr2025"

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 ([e-mail]). 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 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 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 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.