25 Postdoctoral Positions: The MedTrain+ Programme is offering 25 Postdoctoral Positions in Medical Device Research and Development. This program, spanning from 2022 to 2026, aims to enhance the creative, entrepreneurial, and innovative potential of researchers through advanced training, international and inter-sectoral mobility. Fellows will be based at one of nine CÚRAM academic organizations in Ireland, with a three-year Fellowship that includes secondment to a non-academic research partner worldwide.
- MedTrain+ Programme: Enhances the potential of researchers through advanced training and international mobility.
- Fellowships: Three-year programs based at CÚRAM academic organizations, with secondment to a non-academic research partner worldwide.
- Eligibility: Open to experienced researchers (MSCA definition) with specific mobility criteria.
- Fellowship Levels: Level 1 (<4 years post-PhD), Level 2 (≥4 years post-PhD).
- Recruitment: 50 candidates over two calls (2022-2026).
- Mobility Rule: Applicants must not have resided or worked in Ireland for over 12 months in the three years before the submission deadline.
- Financial Support: Living, mobility, and family allowances provided. Additional contribution to research costs.
Designation: Postdoctoral Fellows
Research Area: Biomaterials and Drug Delivery, MedTech AI, Machine Learning, Medical Imaging and Soft Robotics, Immuno Engineering
Location: CÚRAM Academic Organizations: University of Galway, University College Cork, University College Dublin, RCSI, Trinity College Dublin, University of Limerick, Dublin City University, NIBRT, Technological University of the Shannon
Eligibility/Qualification:
- Experienced researchers per MSCA definition
- Possession of a doctoral degree or at least four years of full-time equivalent research experience
- Must comply with MSCA mobility rule (not resided or worked in Ireland for more than 12 months in the last three years)
Job Description:
25 Postdoctoral Positions in Medical Device Research and Development
The selected Fellows will engage in cutting-edge research in areas such as biomaterials and drug delivery, MedTech AI, machine learning, medical imaging, soft robotics, and immuno engineering. The Fellowship includes a living allowance, mobility allowance, and family allowance. Fellows will be involved in research activities, dissemination, and international mobility.
What is Offered:
- Living allowance: €4,334 (Level 1) and €5,216 (Level 2) per month
- Mobility allowance: €600 per month
- Family allowance: €495 per month
- Additional contribution to research cost: €1,250/month per Fellow
Research Areas:
- Biomaterials and Drug Delivery
- MedTech AI, Machine Learning, Medical Imaging, and Soft Robotics
- Immuno Engineering
GUIDE FOR APPLICANTS:
- Deadline: 12 February 2024
How to Apply: Interested candidates are invited to submit their applications by the specified deadline. For more details on application procedures and eligibility criteria, please refer to the MedTrain+ Programme guidelines.
Tables:
| Details | Information |
|---|---|
| Fellowship Duration | Three years |
| Number of Positions | 25 |
| Calls | Two over the program duration |
| Living Allowance | €4,334 (Level 1) / €5,216 (Level 2) |
| Mobility Allowance | €600 per month |
| Family Allowance | €495 per month |
| Research Areas | Description |
|---|---|
| Biomaterials and Drug Delivery | Controlled delivery of therapeutic molecules for clinical application and integration into medical devices. Focus on target identification, lead optimization, formulation design, and preclinical efficacy. |
| MedTech AI, Machine Learning, Medical Imaging, and Soft Robotics | Utilization of machine learning, medical imaging, and soft robotics for medical device research. Aims to enhance computational models, big data management, and high-performance computing. |
| Immuno Engineering | Research in tissue engineering, regenerative medicine, and immuno engineering. Focus on stem cells, gene therapy, biomaterials, and biomimetic environments for innovative solutions to health problems. |
