Lucerne University of Applied Sciences
Warning: this advert is not valid anymore. ()

PhD Student in Biosensors, Microfluidics and AI

Published
WorkplaceLucerne, Central Switzerland, Switzerland
Category
Position

The Lucerne University of Applied Sciences and Arts - Engineering & Architecture is the leading educational and research institution in Central Switzerland. The department offers practice-oriented Bachelor’s and Master’s degree programs as well as various continuing education programs and conducts applied and basic research. It is one of the six departments of the Lucerne University of Applied Sciences and Arts, employing over 1,900 staff and educating and training around 18,000 students.

For a cross-disciplinary, biomedical research project funded by BRIDGE, a joint program of the Swiss National Science Foundation (SNSF) and Innosuisse, we are seeking at the Institute of Electrical Engineering/iHomeLab a

PhD Student in Biosensors, Microfluidics and AI
for the development of a novel cell isolation method for stem cell-based disc regeneration.

Description

Degenerated intervertebral disc (IVD) of the spine is often the cause of low back pain (LBP), a serious pathology affecting about 80% of Western societies. Currently, there are no ideal solutions to regenerate a degenerated disc and its functions. The selected candidate will be part of an internationally competitive research environment combining experimental and theoretical methods to test original scientific hypotheses and develop innovative microfluidic cell isolation methods to repair degenerated discs. The project will start on May 1, 2023 with a duration of for four years.
  • Development of a microfluidic flow cytometer for the isolation of rare cells from IVD samples
  • Design, simulation and characterization of the microfluidic chip with sensor and sorter
  • Design of the experimental setup (microfluidics, sensor, electronics, real-time AI algorithm)
  • Cell isolation measurements and characterization of the method for cell therapy in close collaboration with a PhD student of the University of Bern and a PhD student of the Medical Engineering Institute of HSLU
  • Publication in peer-reviewed journals and participation in conferences

Requirements

  • MSc degree in microsystems engineering, electrical engineering, biomedical engineering, mechanical engineering, physics, or equivalent
  • Excellent background in biosensing, microfluidics/microsystems engineering, and electrodynamics
  • Basic knowledge of cell biology, algorithms and machine learning (AI), Python, and Matlab
  • Enjoy setting up and running experiments (microfluidic design and characterization)
  • Hands-on experience with cells in microfluidic systems and fluorescence microscopy is a plus
  • Persuasive writing skills in English are needed and knowledge of German is helpful
  • Creative, committed, independent and structured working style
  • Enjoy working in a multidisciplinary team

We offer

We offer competitive salary conditions, a stimulating, international and multidisciplinary working environment with excellent infrastructure. You will be accompanied and supported in your work by experienced mentors and experts, and you will be part of a multidisciplinary research team. You will have the opportunity to develop yourself and to contribute your own ideas. The work location is on our campus in an attractive location in Horw/Lucerne, ideal for leisure activities such as hiking, biking, swimming and winter sports. The project is conducted in collaboration with the Bone & Joint Program of the Department of Bio-Medical Research (DBMR) of the University of Bern, the Clinic of Orthopaedics and Traumatology of the Inselspital Bern and the Institute of Medical Engineering of the Lucerne University of Applied Sciences and Arts. You will receive your PhD degree from the University of Bern.

Contact and Address

For further information or your application, please contact Prof. Dr. Patric Eberle, Head of Research Group, e-mail: patric.eberlehslu.ch.

We look forward to receive your online application
Apply online

Web

 
Warning: this advert is not valid anymore. ()
In your application, please refer to myScience.uk and reference JobID 227769.