PhD position in probabilistic modelling of intracranial aneurysms
Life Sciences und Facility Management
April 2024 or upon mutual agreement
- Do research with the goal of a better understanding of intracranial aneurysm disease progression and its aspects such as aneurysm formation, growth, rupture, its management, and outcome to improve patient care.
- Using Bayesian methods such as probabilistic models and other data science approaches to analyse data of patients suffering from intracranial aneurysms for prediction and improved causal disease understanding.
- Perform research under the guidance from both ZHAW and University of Zurich researchers and deliver useful tools for clinical usage. The doctoral degree will be awarded by the University of Zurich.
- Analyse data of various sources such as clinical data from hospitals including medical imaging data and research tools such as genetic sequencing and physical simulations.
- Publish results and attend international conferences.
- Collaborate interdisciplinary and internationally in the GEMINI project (EU Horizon research program, full funding for whole PhD duration.)
- Support with teaching duties of a reasonable amount.
- Attend some relevant lectures in the field.
- Degree in (bio-)statistics, mathematics, computer science, physics, (biomedical) engineering, (bio-) medicine or a related subject
- Interest in applying statistical and data science methods to the medical field
- Intrinsic motivation in medical research
- High level of independence and dedication.
- Knowledge of programming languages such as e.g., R, Python, or other programming languages.
- Some initial research experience and/or achievements are advantageous but not mandatory
This is what we stand for
Zurich University of Applied Sciences ZHAW is one of Switzerland's largest multidisciplinary universities of applied sciences, with over 14'000 students and 3'400 faculty and staff.
Life Sciences and Facility Management: Study and research in Wädenswil: practical, creative, passionate and reflective. Our expertise in life sciences and facility management in the areas of the environment, food and health enables us to make a vital contribution to solving social challenges and improving quality of life.
The ICLS Institute of Computational Life Sciences embraces computational science as an interdisciplinary approach to address complex challenges and develop innovative solutions in key areas of health, society, environment and nutrition.
We position ourselves as intermediaries between basic university research and practical applications in business and society. Our team of around 60 employees has extensive experience in managing interdisciplinary projects.
Our research and development projects fully consider the context of our business and research partners, benefiting our students as well. The valuable knowledge generated from our projects is directly integrated into our Bachelor's and Master's degree programmes, as well as into continuing education.
ZHAW is committed to gender-mixed and diverse teams in order to promote equality, diversity and innovation. We are also committed to a barrier-free university. We therefore motivate people with disabilities to apply.
What you can expect
We offer working conditions and terms of employment commensurate with higher education institutions and actively promote personal development for staff in leadership and non-leadership positions. A detailed description of advantages and benefits can be found at Working at the ZHAW. The main points are listed below:
Dr. sc. ETH Dr. med. Georg Spinner
Leiter FG Medical Image Analy.+Data