Researcher in Biomedicine
University of Luxemburg
Luxembourg

 

Contract Type:

Fixed Term Contract

Duration:

36 Month
About the LCSB

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg.
We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and
in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

Successful candidates will join the Digital Medicine (dMed) group, led by Prof. Jochen Klucken, a joint group between the LCSB, and the Centre Hospitalier de Luxembourg (CHL). The group focuses on personalised and value-based digital healthcare. The dMed group aims to understand the benchmark framework of a new ecosystem for digital medicine. With a highly interdisciplinary team (e.g. neurologists, social scientists, data scientists, health economist), the dMed group addresses the questions of medical benefit, structural and procedural changes, as well as social acceptance of the resulting digital healthcare services. For more information, please visit uni.lu/lcsb/research/digital_medicine.

Your role

The Digital Medicine group (dMed) is looking for a highly motivated PhD Candidate (m/f/d) to explore the value and health economics linked to the digital transformation in medicine, with a special emphasis on neurodegenerative diseases. The research will focus on value-based health care (VBHC), innovative payment models, and integration of real-world data/outcomes (RWD) to drive cost-effective digital medical devices and related technical healthcare services. Of particular interest are applications of digital medicine in chronic and complex conditions such as neurodegenerative diseases, which present unique challenges for long-term care and cost management.

 

Key Responsibilities

  • Conduct cutting-edge research in the health economics of digital medicine, employing real-world data (RWD) and evidence (RWE), with a focus on neurodegenerative disease management
  • Perform economic evaluations of digital medicine interventions, assessing both costs and health outcomes, with a view toward addressing the prolonged disease progression and care needs typical of neurodegenerative diseases
  • Explore emerging payment models within VBHC frameworks, specifically their suitability for digital medicine and real-world applications
  • Analyze policy and regulatory factors impacting the implementation and reimbursement of digital health technologies, and how they relate to real-world evidence generation
  • Publish research results and present them at national and international conferences
  • Contribute to reports and research publications
  • Engage in knowledge-sharing and dissemination of results with relevant stakeholders
  • Write a cumulative PhD thesis


The open position is part of the dHealthPD PEARL project, funded by the FNR.

For further information, please contact Liyousew Borga (liyousew.borga@uni.lu).

 

Your profile
  • Master's degree (MSc or equivalent) in health economics, economics, public health, epidemiology, or a closely related field with strong quantitative skills
  • A keen interest in the intersection of health economics, innovative digital technologies, and the utilization of real-world data
  • Familiarity with health economic evaluation methodologies (e.g., cost-effectiveness analysis, cost-benefit analysis)
  • An understanding of relevant microeconomic concepts (e.g., mechanism design, game theory, decision modeling) would be advantageous
  • Excellent verbal communication and academic writing skills in English
  • Passion for healthcare innovation, digital technologies, and their economic implications
  • Collaborative mindset with a strong ability to work within a multidisciplinary environment
  • Highly committed, ability to work independently, and with attention to detail

 

We offer
  • Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
  • A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
  • A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
How to apply

Applications should include

  • Curriculum Vitae
  • Cover letter indicating your motivation for the project, your relevant experience and future interests (maximum two pages)
  • The contact details of two referees, and/or provide reference letters
  • 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 ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information

  • Contract Type: Fixed Term Contract 36 Month
  • Work Hours: Full Time 40.0 Hours per Week
  • Location: Campus Belval
  • Internal Title: Doctoral Researcher
  • Job Reference: UOL06831

 

The yearly gross salary for every PhD at the UL is EUR 40952 (full time).


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