Offer Description
Background: Synthetic data has the potential to surmount privacy issues and supply data into innovation ecosystems operating within the broader (digital) healthcare economy. At the Synthetic hEalthcare dAta goveRnanCe Hub (SEARCH) project, we are revolutionising healthcare by harnessing the power of artificial intelligence (AI), synthetic data generation, and Federated Learning (FL) to drive cutting-edge solutions in medical research and patient care. Our mission is to create an integrated,…
secure, and privacy-preserving ecosystem where healthcare data can be shared and utilised across sectors, unlocking new possibilities in diagnostics, treatment, and personalised medicine. The project investigates generative AI for various modalities, including tabular, signal, image and genomic data.
In connection mainly with WP3 "Medical Data Generation", but also WP4 "Clinical Decision Support, Validation and Demonstration", we are currently offering a post-doctoral position with responsibility to investigate and develop methods for synthetic data generation. The methods include FL-based data generation approaches, methods encompassing privacy-preserving and credibility assessment protocols, data-efficient learning for synthetic data generation (e.g., few-shot learning), personalised and multimodal synthetic data generation. The foreseen duration of the employment will be 1 year, extensible up to the end of the project.
This work is part of the European project SEARCH, which is supported by the Innovative Health Initiative Joint Undertaking (IHI JU) under grant agreement No. 101172997. The JU receives support from the European Union's Horizon Europe research and innovation programme and COCIR, EFPIA, Europa Bio, MedTech Europe, Vaccines Europe, Medical Values GmbH, Corsano Health BV, Maggioli SpA, Motilent Ltd, Ubitech Ltd, Hemex Benelux, Hygeia, German Oncology Center, Byte Solutions Unlimited, AdaptIT GmbH.
The University of Thessaly (UTH) was founded in 1984. Its administrative and academic centre is in the city of Volos and departments in the largest cities in Central Greece. It now holds the 3rd place among Greek Universities, and it belongs to the top 5% of European Universities according to University Ranking of Academic Performance. The involved Department of Computer Science & Biomedical Informatics of UTH, is located in Lamia, and it is one of a few academic units in Europe providing multidisciplinary studies, which combine knowledge both from computer science and biomedicine. The project will be implemented at the Biomedical Imaging Laboratory of this department (https://is-innovation.eu/). Our laboratory offers a secure working environment that can conveniently accommodate ~30 researchers, and modern equipment that includes a high performance computing cloud for demanding AI applications with >200.000 GPU cores, 3D printers, virtual reality equipment and computational modelling and simulation platforms.
Interested candidates are advised to contact Prof. Dimitris Iakovidis as soon as possible.
Application procedure
Your complete application must be submitted by email (to: diakovidis@uth.gr and in cc: dimitris.iakovidis@ieee.org) until October 25th, 2026 (23:59 Athens time) in none zip file containing all the following documents:
- A letter motivating the application (cover letter)
- Full Curriculum Vitae (CV) including list of publications (and links to the publications)
- BSc, MSc and PhD diplomas along with their translations in English (if they are in another language), grade transcripts, and official description of grading scale.
- Certificate in English. Holders of an undergraduate or postgraduate degree from a foreign University in the English language are exempt from this obligation.
- Up to two (2) letters of recommendation (optional)
- Scientific publications and the PhD thesis, all in the form of pdf files as published. Scientific articles that are accepted for publication in journals but not yet published must be accompanied by an acceptance letter.
In case the zip file is too large > 5MB, please send it via a download link.
Incomplete applications will not be considered.
Applications received after the submission period mentioned above, will not be considered.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.
Where to apply
E-mail: diakovidis@uth.gr
Requirements
Research Field: Computer science » Programming
Education Level: PhD or equivalent
Research Field: Computer science » Informatics
Education Level: PhD or equivalent
Skills/Qualifications
- A willingness to work as part of a collaborative, interdisciplinary and international team, liaising with academic and industrial partners as needed
- Good communication skills, with an interest in presenting research outcomes to a variety of technical and non-technical audiences
- Proactive and self-motivated, taking the initiative in acquiring the skills and knowledge to achieve the objectives of their independent project and that of the overall team with a commitment to personal and professional development
- A willingness to embrace diversity, different cultural perspectives, and interdisciplinary approaches to research
- Excellent knowledge of computer programming (preferably in Python)
- Excellent knowledge of machine learning methods
- Excellent knowledge of scientific writing
- Previous professional experience in software development will be advantageous
- Good knowledge of signal processing/analysis methods
Specific Requirements
- Candidates should meet all the eligibility criteria detailed below
- Good English language skills
Languages: ENGLISH
Level: Good
Research Field: Computer science » Programming, Computer science » Informatics
Years of Research Experience: 1 - 4
Additional Information
Benefits
- An employment contract from the recruiting beneficiary, with a competitive salary, number of days off, remote work, social security coverage. The salary will be 3400 euros per month – gross salary)
- Access to state-of-the-art research and supervision by recognised experts
- Participation in consortium-wide activities, workshops and conferences
Eligibility criteria
To be eligible, applicants must comply with all the following rules:
- At the deadline date, applicants must:
- Possess or be finalising their PhD degree in computer science, informatics, electronics and electrical engineering or relevant domain.
- Have at least five (5) journal papers with Clarivate impact factor higher than 4, published (or accepted for publication) in the domain of artificial intelligence (AI), with at least two of them to be on generative AI methods.
- Applicants must be available full-time to start the program in January 2027.
Selection process
Our selection procedure is open, transparent, merit-based, impartial, and equitable, in line with the Code of Conduct for the Recruitment of Researchers (https://euraxess.ec.europa.eu/jobs/charter/code).
Applicants should follow the application criteria and instructions for the position(s) they are interested in. Candidates will be informed, before the selection, about the recruitment process for each position and the selection criteria.
The selection procedure will consist of the following steps:
Eligibility check: The Recruitment Committee will check each application is complete and that applicants fulfil the eligibility criteria described in the previous section.
Remote Evaluation: Each eligible application will be evaluated independently by the principal investigator.
Online interviews: The short-listed candidates will be interviewed by a Selection Committee that will include the recruiting Principal Investigators. Selection committees will bring together diverse expertise and competencies and have an adequate gender balance.
Applications will be reviewed for eligibility and suitability based on the criteria listed for each position.
The recruiting institution will notify the selection outcome after the interview. Candidates will be informed after the selection process about the results of their applications.
Work Location(s)
Number of offers available: 1
Company/Institute: Department of Computer Science and Biomedical Informatics, University of Thessaly
Country: Greece
State/Province: Fthiotis
City: Lamia
Postal Code: 35131
Street: 2-4 Papasiopoulou St
Contact
State/Province: Fthiotis
City: Lamia
Website: https://www.dib.uth.gr
Street: 2-4 Papasiopoulou St.
Postal Code: 35131
E-Mail: diakovidis@uth.gr, dimitris.iakovidis@ieee.org
Phone: +302231066711
Mobile Phone: +306932252591