血栓数据多模态AI基础模型方向博士职位

Transilvania University of Brasov invites applications for a Doctoral Candidate / Research Assistant position within the European project “From cells to systems: Pioneering multi-level thrombosis risk prediction models - ThromboRisk”, funded under Horizon Europe, Marie Sklodowska-Curie Actions Doctoral Networks 2024 (HORIZON-MSCA-2024-DN-01), https://www.thromborisk.eu/ . ThromboRisk is an interdisciplinary doctoral training network that combines computational modelling, artificial intelligence, experimental research and clinical data to improve the understanding and prediction of thrombosis. The successful candidate will work on Doctoral Candidate project DC12: “Multimodal AI Foundation Modelling of Thrombosis Data”. Research project The project will investigate the integration of multimodal data into an AI foundation model for thrombosis. The research will focus on: • integrating physics-based data generated through computational experiments with medical imaging and clinical measurements; • developing multimodal data-fusion and representation-learning methods; • analysing the impact of physics-based data on imaging- and clinical-data-driven tasks; • developing supervised, semi-supervised, self-supervised and unsupervised learning approaches; • combining data-driven and physics-based modelling techniques; • developing robust and interpretable AI models for thrombosis; • quantifying the benefits and trade-offs of multimodal and multi-scale data integration; • evaluating the predictive performance and reliability of the resulting models.

The integration of physics-based, imaging and clinical data is expected to produce a more robust, accurate and interpretable AI foundation model for thrombosis.

Requirements / required education level / degree: Master Degree or equivalent

Requirements / required education level / discipline: Computer science

Requirements / skills: Applicants must: • hold a Master’s degree or equivalent in biomedical engineering, computer science and engineering, physics or a related field; • hold a degree that formally allows enrolment in a doctoral programme in Romania; • not hold a doctoral degree at the recruitment date; • demonstrate English-language proficiency at a minimum C1 level; • comply with the applicable national employment requirements and the conditions included in the official university call; • comply with the MSCA mobility rule.

Applicants may be of any nationality. Under the MSCA mobility rule, candidates must not have resided or carried out their main activity, such as work or studies, in Romania for more than 12 months during the 36 months immediately preceding the recruitment date. Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. Previous professional experience is not required.

Requirements / specific requirements: The ideal candidate will have theoretical or applied knowledge, or a strong interest, in one or more of the following areas: • AI foundation models and multimodal learning; • large-scale pretrained models and transformer architectures; • multimodal data fusion and representation learning; • self-supervised, semi-supervised and unsupervised learning; • transfer learning and fine-tuning; • convolutional neural networks for imaging data; • transformer-based architectures for sequential and heterogeneous data; • medical image analysis and computer vision; • processing of CT, MRI, ultrasound or angiography data; • 3D image processing for vascular and cardiovascular structures; • physics-informed neural networks; • hybrid models combining computational simulations with empirical data; • multi-scale modelling of thrombosis and cardiovascular phenomena; • Python and deep-learning frameworks such as PyTorch; • NumPy, SciPy and scikit-learn; • performance evaluation and validation of multimodal AI models.

Experience in any of the following areas will be considered an advantage: • medical-imaging libraries such as MONAI, SimpleITK or NiBabel; • distributed or large-scale model training; • high-performance computing, GPU clusters or cloud platforms; • computational modelling of cardiovascular or thrombosis-related phenomena; • clinical or biomedical research collaboration.

The candidate should have good communication skills, be able to work effectively in an interdisciplinary research team and demonstrate creativity, ambition, persistence and a strong motivation for doctoral research.

Requirements / required languages / language: ENGLISH

Requirements / required languages / language level: Excellent

Research experience / main research field: Computer science

Research experience / research sub field: Programming

Research experience / years of research experience: None

Research experience / main research field: Engineering

Research experience / research sub field: Biomedical engineering

Research experience / years of research experience: None

Additional information / benefits: The successful candidate will receive a 36-month employment contract as a Research Assistant in Computer Science at Transilvania University of Brasov, with a workload of 40 hours per month. The successful candidate will be required to enrol in a doctoral programme at Transilvania University of Brasov starting on 1 October 2027. Remuneration will be provided in accordance with the MSCA Doctoral Network funding conditions and the applicable employment regulations of Transilvania University of Brasov.

Additional information / eligibility criteria: When applying, candidates must provide: • Filled in application form • copy of the identity document or any other document certifying identity, according to the law, valid on the date of application; • copy of the marriage certificate or of another document by which the change of name was made, as the case may be (if it applies); • copies of documents certifying the level of studies and of other documents attesting the completion of specializations, as well as copies of documents certifying the fulfillment of the specific conditions of the position required by the public authority or institution; • copy of the work record book, of the certificate issued by the employer for the period worked, attesting the length of service and the length of service in the specialty of the studies required for filling the position (if it applies); • medical certificate attesting an adequate state of health, issued by the candidate's family doctor or by the authorized medical units no more than 6 months prior to the start of the competition; • curriculum vitae, common European model

Specific eligibility requirements: • hold a Master’s degree or equivalent in biomedical engineering, computer science and engineering, physics or a related field; • hold a degree that formally allows enrolment in a doctoral programme in Romania; • not hold a doctoral degree at the recruitment date; • demonstrate English-language proficiency at a minimum C1 level; • comply with the applicable national employment requirements and the conditions included in the official university call; • comply with the MSCA mobility rule.

Applicants may be of any nationality. Under the MSCA mobility rule, candidates must not have resided or carried out their main activity, such as work or studies, in Romania for more than 12 months during the 36 months immediately preceding the recruitment date. Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. Previous professional experience is not required.

Additional information / selection process: The selection process is based on two stages: Stage 1: The application files of the enrolled candidates will be reviewed, and a subset of the candidates will be invited to the interview. The list of selected candidates will be posted on 30.10.2026. Stage 2: The interviews will take place on 04.11.2026. The final result will be posted on 05.11.2026.

Work location / nr job positions: 1

Work location / job organisation institute: Transilvania University of Brasov

Work location / job country: Romania

Work location / job state province: Brașov

Work location / job city: Brașov

Work location / job postal code: 500036

Work location / job street: B-dul Eroilor nr. 29

Hiring contact / organisation institute: Transilvania University of Brasov

Hiring contact / organisation institute type: Higher Education Institute

Hiring contact / division faculty: Automation and Information Technology

Hiring contact / country: Romania

Hiring contact / city: Brașov

Hiring contact / state province: Brașov

Hiring contact / postal code: 500036

Hiring contact / street: B-dul Eroilor nr. 29

Hiring contact / e mail: lucian.itu@unitbv.ro

Hiring contact / website: https://unitbv.ro/en/

Application / how to apply: e-mail

Application / application email: lucian.itu@unitbv.ro

EU funding / framework programme: Horizon Europe - MSCA

EU funding / cofund nr job position: 1

Research field / main research field: Computer science

Research field / sub research field: Programming

Research field / main research field: Engineering

Research field / sub research field: Biomedical engineering

Researcher profile: First Stage Researcher (R1)

Positions: PhD Positions

Contract: Temporary

Job status: Full-time

Application deadline (as exported; timezone unverified): 2026-10-28T10:00:00