荷蘭特文特大學2024年招聘博士后職位（臨床研究中的聯(lián)合分析）
特文特大學（英文：University of Twente；荷文：Universiteit Twente），簡稱UT，曾譯為屯特大學，也稱特溫特大學，創(chuàng)建于1961年，位于荷蘭恩斯赫德市，是荷蘭著名的研究型大學，系4TU成員、歐洲創(chuàng)新大學聯(lián)盟（ECIU）成員。
Postdoc position on Federated Analytics in Clinical Research
University of Twente
Patient-level data exchange has an increasingly challenging future in the health sector due to privacy concerns. An alternative for sending data across institutions is to keep data at its original institutional source and access it only through a federative approach. We believe all technical capabilities are available on an adequate level, but that the next step towards innovation is lacking. This is because (a) it is unclear how to put all pieces together, and (b) certain obstacles in practice have been overlooked until now. The University of Twente with its unique entrepreneurial spirit in engineering aims to address this by collaborating with the Dutch Institute for Clinical Auditing (DICA), and the Netherlands Comprehensive Cancer Organisation (IKNL), to re-engineer their registries for breast implants (DBIR) and breast cancer (Netherlands Cancer registry / NABON Breast Cancer Audit) according to the federative analytics approach as a showcase for the health sector in The Netherlands and beyond. This position offers the unique opportunity to contribute to the field of federated learning, help ensure true uptake of this technology in society, and to collaborate with world-renowned experts in the field.
Key Responsibilities:
Design and implement a proof-of-concept showcase implementation of an analytical product relevant to DICA and/or IKNL that uses a federative approach for deriving the aggregated results.
Inter-disciplinary collaboration with various research institutes, hospitals, and companies to arrange this multi-institution showcase.
Publish and present research findings and experiences in leading scientific and professional venues explaining the consequences and benefits of federated learning.
Staying updated with the latest advancements in federated learning both in research as well as industry.
Contribute to the mentoring of graduate students and junior team members.
The Postdoctoral Researcher will be embedded in the DMB research group and closely collaborate with the HTSR research group. The supervision lies with Prof.dr.ir. Maurice van Keulen (DMB) and Dr. Marissa van Maaren (HTSR and IKNL). This position is part of the “Federated Analytics through Harmonization in National Breast Cancer Care” project.
Your profile
The ideal candidate we are looking for has:
A PhD degree in data science, computer science, or a related field with affinity for health care, or
PhD degree in (technical) medicine, biomedical engineering, or a related field with an affinity for computer science.
Broad and application-oriented knowledge and interests in federated learning, secure computing, statistics, and predictive modelling.
Comfortable with programming and the command-line to meet technical requirements and at the same time confident in interactions with the medical field to understand the clinical needs.
An enthusiastic attitude towards learning new things and staying updated with the latest advancements.
A committed team spirit and the ability to work in an interdisciplinary environment.
Strong communication and social skills.
Excellent command of English; Knowledge of Dutch is required on a sufficient level for effective oral and written communication with Dutch native speakers.
Our offer
You will be appointed for a period of maximum 1 years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.,
Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
Gross salary between 歐元 3.557,- and 歐元4.670,- per month depending on experience and qualifications;
Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;
The flexibility to work (partially) from home;
Free access to sports facilities on campus
A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
Excellent support for research and facilities for professional and personal development.
We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.
We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.
Information and application
Are you interested in this position? Please send your application via the 'Apply now' button below before August 25th 2024 , and include:
A detailed CV including a list of publications.
A brief cover letter (maximum 2 pages) highlighting your research interests and suitability for the position.
Names and contact details of 2-3 referees (they will be approached only if the candidate is shortlisted).
For more information regarding this position, you are welcome to contact Maurice van Keulen (m.vankeulen@utwente.nl)
How to apply Step 1
Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.
Step 2
Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.
Step 3
1st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.
Step 4
2nd interview. In the second interview, we will further discuss the job content, your skills and your talents.
Step 5
The offer. If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.
