The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres ;focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches to develop the foundation of a future digital medicine.
Within the LCSB, the Digital Medicine group headed by the FNR-PEARL Chair Prof. Dr. med. Jochen Klucken focusses on:
- Shaping the digital transformation of medicine and innovating personalized digital medical devices and related digital supported healthcare solutions, and
- Understanding and evaluating the new benchmarks of a new ecosystem for digital medicine.
Patient-centered digital healthcare services and smart medical devices complement the existing healthcare service ecosystem and aim to address the patient’s needs, continuously monitor and accompany the individual patient journey, and provide clinical decision support for healthcare provider. Digital therapeutics are at the verge of being reimbursed and integrated into healthcare procedures. The goal of the Digital Medicine group is to develop, understand and to evaluate this new type of healthcare application in medicine in order to reduce disease burden, improve healthcare and generate innovative solutions and services. To reach this goal, we focus on the patient and healthcare provider view and interaction with digital medical devices, and thus, develop and test user-interfaces jointly with patients and healthcare providers. Here, we closely interact with members of the Luxembourg ParkinsonNet and the Parkinson Research Clinic headed by Prof. Rejko Krüger. Our team consists of clinicians and study nurses, data scientists, social and health economic scientists, as well as medical process experts and health technology assessment (HTA) experts.
The Digital Medicine Research Group at LCSB is seeking a highly motivated PhD Candidate to actively contribute to the development and evaluation of new smart algorithms that will improve clinical decision support. The candidate will focus on different healthcare scenarios, from the alleviation of long Covid19 symptoms to the prevention of dementia and will identify clinical and non-clinical patterns relevant for the treatment decision making or associated with better intervention outcomes. Jointly with UX/UI designers, software developers, and clinicians the candidate will work in a multidisciplinary team and will be involved in the clinical validation of the smart algorithms and help in the translation of the developed clinical decision support tools into the general clinical practice.
What we expect from you…
We seek a highly motivated student with the following profile:
- A Master’s degree (MSc or equivalent) in data science, computational biology, bioinformatics, or a related field, with a strong interest in translational medicine and digital health solutions
- Good programming skills in Python or R
- Fluency in English (written and oral) is mandatory, skills in German and/or French will be considered an advantage
- Willingness to work closely in a multidisciplinary team
- Strong motivation to engage in the research topic and to collaborate with our industry and clinical partners
- Passionate about using technology to conduct research
- Prior knowledge of ML/AI analysis for healthcare, or neurodegenerative diseases will be considered an advantage
We expect from the candidate:
- To work closely with other team members and external members (IT developers, data scientists, clinical care providers) on the design, implementation and validation of clinical decision support tools
- To write a doctoral thesis in the field of digital medicine
- To present research results at national and international workshops and conferences
- To publish scientific papers in peer-reviewed international journals
- An exciting research topic
- Doctoral education, with state-of-the-art research facilities and computational equipment
- An amazing opportunity to be part of an innovative and multidisciplinary research team
- Financial support for participation in scientific activities (workshops, conferences, summer schools, etc.)
- Modern and bright office rooms. No cubicles or open space offices.
- A real opportunity to create a positive impact on medical research
- A dynamic, exciting, and equal opportunity international research environment with competitive compensation & benefits
- Compulsory social health insurance and private options at preferential rates
- Contract Type: Fixed Term Contract 36 Month (extendable up to 48 months if required)
- Work Hours: Full Time 40.0 Hours per Week
- Ideal starting date: July 2022
- Location: Belval
- Employee and student status
- Job Reference: UOL04990
The yearly gross salary for every PhD at the UL is EUR 38.028,96 (full time)
How to apply…
Applications should be submitted online and include:
- A full curriculum vitae, including any publications
- The contact details of two referees, and/or provide reference letters
- A copy of the relevant diplomas and the transcript of the results
- A cover letter indicating your motivation for the project, your relevant experience and future interests (maximum two pages)
- A brief summary of your master thesis (maximum one page)
Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.