PhD Student 100 %

Universität Bern

  • Veröffentlicht:

    04 Juni 2024
  • Pensum:

    100%
  • Vertrag:

    Festanstellung
  • Arbeitsort:

    Bern

PhD Student 100 %

University of Bern and University Hospital Bern, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism (UDEM)
Start of employment: by agreement
Employment is fixed-term for one year. Renewable for three years
PrecisionLab, led by Prof. Jose Garcia-Tirado, aims to develop new technology for managing diabetes and metabolic disorders through novel digital interventions such as advanced decision-support tools, automated insulin delivery, and the development of mathematical models for precision medicine (digital twins) to foster the next generation of precision therapeutics.



PhD Student

Job purpose

A PhD position is available in the Technology-Enabled Precision Medicine for Metabolic Disorders (PrecisionLab) group led by Prof. Jose Garcia-Tirado and co-supervised by Prof. Lia Bally (Metabolic Physiology Lab) at the Department of Diabetes, Endocrinology, Nutritional Medicine, and Metabolism (UDEM), University Hospital Bern and University of Bern. We seek an enthusiastic candidate who will contribute to digital twin technologies to simulate/predict physiologic variables and generate actionable advice to promote cardiometabolic health in women across the life course. This approach will help understand the potential impact of lifestyle changes, treatments, or medications on a given person through simulation and consideration of female-specific needs. For women, this can mean finding proactive measures to assess how different lifestyle and therapeutic interventions might reduce the risk of CVD in women, in particular during vulnerable lifetime periods such as after pregnancy complications and menopause.

The position also implies the student's engagement in interdisciplinary activities related to interactions with the target population and technology deployment in clinical studies.

Requirements

  • MSc in biomedical, biological, chemical, or related engineering with a background in simulation, process modeling, and analysis of dynamical systems.
  • Experience with physiological/first-principles and/or compartmental modeling.
  • Experience using Matlab/Simulink. A good command of Python is a plus.
  • Highly motivated, creative candidate with good problem-solving skills
  • Communicative skills and motivation to work with scientific, clinical, and industrial partners.
  • Willingness to collaborate in a highly interdisciplinary team
  • Excellent command of spoken and written English.
  • Knowledge of statistics in the medical sciences is a plus.

We offer

  • We provide excellent scientific expertise in a dynamic environment and support a career focusing on patient-oriented translational research embedded in therapeutic and preventive healthcare environments.
  • A friendly, stimulating, international, and multidisciplinary environment.
  • A workplace in Bern, Switzerland's capital, known for its high quality of life and surrounded by beautiful nature, perfect for hiking, biking, swimming, and winter sports.

Diversity & Inclusion
UDEM's mission for Diversity and inclusion (D&I) seeks to promote the fair treatment and full participation of all people by creating a workforce with a shared appreciation for diversity, raising awareness around inclusiveness, and fostering a sense of belonging and appreciation for all members of our community.

Equal employment opportunity
UDEM is an equal opportunity employer for women and individuals with disabilities and/or diverse backgrounds (race/ethnicity, sexual orientation, etc.). It actively seeks diversity among collaborators

Application and contact

For subject-specific questions and information about the position, please contact Prof José Garcia-Tirado (E-Mail schreiben)

Please submit the following documents to E-Mail schreiben: Updated CV and Cover letter.

Shortlisted candidates will be invited to an interview and a 10-minute presentation of their master's thesis.

Kontakt

  • Universität Bern