PostDoc Position -Advanced digital technologies in health and rehabilitation bioengineering. Medical technologies

Updated: 3 months ago
Deadline: 16 Jan 2026

9 Jan 2026
Job Information
Organisation/Company

George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
Research Field

Other
Researcher Profile

Recognised Researcher (R2)
Positions

Postdoc Positions
Country

Romania
Application Deadline

16 Jan 2026 - 14:00 (Europe/Bucharest)
Type of Contract

Temporary
Job Status

Not Applicable
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Topic:

  • Advanced digital technologies in rehabilitation bioengineering with the support of augmented reality
  • Medical technologies for preoperative planning by integrating three-dimensional technologies
  • Virtual reconstruction of anatomical structures
  • Methods for matching and aligning anatomical structures

  • Where to apply
    Website
    https://umfst.ro/info-studenti/studii/doctorat/cercetatori-postdoctorali/

    Requirements
    Research Field
    Other
    Education Level
    PhD or equivalent

    Languages
    ROMANIAN

    Languages
    ENGLISH

    Research Field
    Other

    Additional Information
    Benefits
    • Access to modern infrastructure
    • The position is supported by a monthly scholarship amounting to 3,700 RON

    Eligibility criteria

    Eligible candidates must cumulatively meet the following conditions:
    a) hold a doctoral degree in relevant fields, obtained no more than 5 years prior to the date of the admission competition;
    exception: candidates who have obtained certificates of excellence in “Marie Skłodowska-Curie”–type competitions,
    for whom no time limit applies;
    b) submit an advanced research plan compatible with the strategic research directions of UMPhST;
    c) meet the specific conditions applicable to EU/ non-EU citizens, with recognition/ equivalence of the doctoral diploma
    in accordance with legislation;
    d) for foreign candidates opting for Romanian as the working language – hold a language proficiency certificate
    (minimum level B2);
    e) have not previously benefited from public funding for another postdoctoral programme, in accordance with the
    declaration of personal responsibility;


    Selection process

    The evaluation of candidates is carried out based on a public scoring grid (scores from 1 to 10), which includes:

  • Eligibility and quality of the application file (completeness of documents, fulfilment of requirements) – pass/ fail
  • Advanced research plan (40%) – originality, relevance, feasibility, potential impact, and alignment with the strategic
    directions of UMPhST;
  • Previous scientific activity (30%) – publications in indexed journals (number, quality – quartiles, citations), projects,
    patents, awards, mobility experiences, as well as other relevant elements (letters of recommendation, involvement
    in mentoring/ teaching activities, etc.);
  • Interview/ project presentation (30%) – clarity of presentation, argumentative capacity, and career development
    vision

  • Additional comments

    References Topic 1

  • Denche-Zamorano A, Rodriguez-Redondo Y, Barrios-Fernandez S, Mendoza-Muñoz M, Castillo- Paredes A, Rojo-Ramos J, Garcia-Gordillo MA, Adsuar JC. Rehabilitation Is the Main Topic in Virtual and Augmented Reality and Physical Activity Research: A Bibliometric Analysis. Sensors (Basel). 2023 Mar 9;23(6):2987. doi: 10.3390/s23062987. PMID: 36991699; PMCID: PMC10056397.
  • Farsi, A.; Cerone, G.L.; Falla, D.; Gazzoni, M. Emerging Applications of Augmented and Mixed Reality Technologies in Motor Rehabilitation: A Scoping Review. Sensors 2025, 25, 2042. https://doi.org/10.3390/s25072042 .
  • Tang P, Cao Y, Vithran DTAV, Xiao W, Wen T, Liu S, Li Y. The Efficacy of Virtual Reality on the Rehabilitation of Musculoskeletal Diseases: Umbrella Review. J Med Internet Res 2025;27:e64576. doi: 10.2196/64576 .
  • Tony Liao, Pamara F. Chang, SongYi Lee, Chapter 6 - Augmented reality in health and medicine: A review of augmented reality application for health professionals, procedures, and behavioral interventions, Editor(s): Jihyun Kim, Hayeon Song, Technology and Health, Academic Press,2020, Pages 109-128, ISBN 9780128169582, https://doi.org/10.1016/B978-0-12-816958-2.00006-X .
  • Liu, Y., Zhang, Q. & Li, W. Enhancing lower-limb rehabilitation: a scoping review of augmented reality environment. J NeuroEngineering Rehabil 22, 114 (2025). https://doi.org/10.1186/s12984-025-01643-7 .
  •  

    Topic 2

  • Portnoy Y, Koren J, Khoury A, Factor S, Dadia S, Ran Y, Benady A. Three-dimensional technologies in presurgical planning of bone surgeries: current evidence and future perspectives. Int J Surg. 2023 Jan 1;109(1):3-10. doi: 10.1097/JS9.0000000000000201. PMID: 36799780; PMCID: PMC10389328.
  • Segaran, N.; Saini, G.; Mayer, J.L.; Naidu, S.; Patel, I.; Alzubaidi, S.; Oklu, R. Application of 3D Printing in Preoperative Planning. J. Clin. Med. 2021, 10, 917. https://doi.org/10.3390/jcm10050917
  • Ganguli A, Pagan-Diaz GJ, Grant L, Cvetkovic C, Bramlet M, Vozenilek J, Kesavadas T, Bashir R. 3D printing for preoperative planning and surgical training: a review. Biomed Microdevices. 2018 Aug 4;20(3):65. doi: 10.1007/s10544-018-0301-9. PMID: 30078059.
  • Klasen JRS, Thatcher GP, Bleedorn JA and Soukup JW (2022) Virtual surgical planning and 3D printing: Methodology and applications in veterinary oromaxillofacial surgery. Front. Vet. Sci. 9:971318. doi: 10.3389/fvets.2022.971318
  • Don Hoang, David Perrault, Milan Stevanovic, Alidad Ghiassi. Surgical applications of three- dimensional printing: a review of the current literature & how to get starte. ATM. 2016, 4(23), doi: 10.21037/atm.2016.12.18.
  • Topic 3

  • Mejia E, Sweeney S, Zablah JE. Virtual 3D reconstruction of complex congenital cardiac anatomy from 3D rotational angiography. 3D Print Med. 2025 Jan 27;11(1):4. doi: 10.1186/s41205-024- 00247-6. PMID: 39869281; PMCID: PMC11770958.
  • V. Paramasivam, Sindhu, G. Singh, S. Santhanakrishnan. 3D Printing of Human Anatomical Models for Preoperative Surgical Planning, Procedia Manufacturing, Volume 48, 2020, Pages 684-690, ISSN 2351-9789, https://doi.org/10.1016/j.promfg.2020.05.100 .
  • Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079, 060024, https://doi.org/10.1063/5.0202322.
  • Varsha R. Talanki,  Qi Peng PhD Stephanie B. Shamir MD Steven H. Baete  , Timothy Q. Duong ,

    Nicole Wake.  Three-Dimensional Printed Anatomic Models Derived From Magnetic Resonance Imaging Data: Current State and Image Acquisition Recommendations for Appropriate Clinical Scenarios. JMRI, 2022, 55(4), 1060-1081, https://doi.org/10.1002/jmri.27744.

  • Dženan Zukić,  Jared Vicory,  Beatriz Paniagua  and Andinet Enquobahrie.  2D to 3D reconstruction in medical imaging: challenges and solutions — practical challenges and solutions for image modality selection and reconstruction pipelines. Kitware. Online at: https://www.kitware.com/2d-to-3d-reconstruction-in-medical-imaging-challenges-and- solutions/?utm_source=chatgpt.com
  •  

    Topic 4

  • Darzi F, Bocklitz T. A Review of Medical Image Registration for Different Modalities. Bioengineering (Basel). 2024 Aug 2;11(8):786. doi: 10.3390/bioengineering11080786. PMID: 39199744; PMCID: PMC11351674.
  • Zitová, B., Flusser, J.. Image registration methods: a survey. — classic, highly cited survey covering geometric transforms, similarity metrics, and evaluation. Image and Vision Computing 21 (2003) 977–1000.
  • Guan, SY., Wang, TM., Meng, C. et al. A Review of Point Feature Based Medical Image Registration. Chin. J. Mech. Eng. 31, 76 (2018). https://doi.org/10.1186/s10033-018-0275-9
  • Hu, Y., Modat, M., Gibson, E., et al. (2017–2018). Label-driven / weakly-supervised CNNs for multimodal deformable registration (arXiv / MICCAI threads) — key papers showing deep learning approaches for fast, deformable registration. https://doi.org/10.48550/arXiv.1711.01666
  • Wan Y, Hu H, Xu Y, Chen Q, Wang Y, Gao D. A Robust and Accurate Non-rigid Medical Image Registration Algorithm Based on Multi-level Deformable Model. Iran J Public Health. 2017 Dec;46(12):1679-1689. PMID: 29259943; PMCID: PMC5734968.

  • Website for additional job details

    https://umfst.ro/info-studenti/studii/doctorat/cercetatori-postdoctorali/

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
    Country
    Romania
    State/Province
    Mureș
    City
    Târgu Mureș
    Postal Code
    540142
    Street
    Gheorghe Marinescu, nr. 38
    Geofield


    Contact
    State/Province

    Mureș
    City

    Targu Mures
    Website

    https://www.umfst.ro/home.html
    Street

    Gheorghe Marinescu, 38
    Postal Code

    540142
    E-Mail

    scoala.doctorala@umfst.ro

    STATUS: EXPIRED

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