University of BaselAcronym | UNIBAS | Homepage | http://www.unibas.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Current organization | University of Basel | Child organizations | |
Open OpportunitiesWe are developing a teleoperated micro-assembly system. A core component is a force-sensitive micro-gripper. A first gripper prototype has been realized and evaluated. Your task will be to review and improve the current design and to implement automated object slippage detection. - Mechanical and Industrial Engineering, Robotics and Mechatronics
- Master Thesis
| Cartilage damage in the knee joint can be caused by aging or repetitive actions. It can be treated by surgically removing the damaged cartilage tissue and filling the generated defect with a precisely shaped, healthy cartilage graft. Removing the defected cartilage is commonly done with surgical curettes. We are investigating the use of laser ablation for a more precise defect preparation process. With two different lasers, we managed to obain promising results regarding cell viability in live samples. However, laser parameters such as pulse frequency and energy need to be optimized towards higher cutting efficiency. Your task will be to prepare a setup to test, optimize, and validate various parameter sets using different lasers for articular cartilage ablation. - Biomedical Engineering, Optical Physics
- Master Thesis
| Join us for the project "In SEA2 SpineBot for Safe Intraoperative Intervertebral Stiffness Assessment". - Biomechanical Engineering, Mechanical Engineering, Medical and Health Sciences
- PhD Placement
| You will work on a system to analyze the dental drill that is in use. Shape, size and wear level of the dental drill have to be recognized. - Engineering and Technology
- Master Thesis
| Organs-on-a-Chips (OoaC) are essential to ensure pharmaceutical pre-clinical safety. OoaCs are
in vitro miniaturized simplified model systems of organs. Most OoaC engineering in academic research is
carried out manually and is labour-intensive. We currently perform research to build an automated OoaC
bioreactor that includes necessary functions to care for OoaC 24/7 (see Figure 1).
Usually, bacterial contamination is detected by humans in microscopy imaging, which is not automated,
or by pH monitoring, which is not accurate and is invasive, as sensors should be added directly in contact
with the OoaC perfusion medium. We aim to automatically detect bacterial contamination inside the
automated OoaC bioreactor with compact and non-invasive sensors. It has been demonstrated that bacterial
contamination can be detected in a non-invasive fashion using chromatography-mass spectrometry (GC-MS);
however, GC-MS is expensive, bulky, and therefore, cannot be integrated inside bioreactors.
The question of whether compact, non-invasive, and automatic detection of bacterial contamination is
feasible and effective to detect bacterial contamination in an OoaC automation context is your opportunity
to work on an exciting project that impacts research and the pharmaceutical industry. - Analytical Biochemistry, Bacteriology, Infectious Agents, Microbial Ecology
- Master Thesis
| Organs-on-a-Chip (OoaC) are in vitro miniaturized and simplified model systems of organs.
Since 2009, the OoaC approach to synthesising viable non-perfused small in vitro organs progressed significantly and is currently the most commonly used approach. The method of choice is to grow an OoaC in a gel. Most OoaC engineering in academic research is carried out manually and is, therefore, labour-intensive.
The perfusion is critical to nourish cells with nutrients and transport drugs. Methods to generate perfused
OoaC e.g. using a tilting station, have been developed but the perfusion flow rate profile does not mimic human organ in vivo blood flow rate profile. We aim at allowing a controlled flow rate by using feedback on the current flow rate to control the angle of the tilting stage so that the static pressure difference between
two reservoirs placed at opposing sides of the stage can be adapted to drive the flow as desired. The question whether Micro-Particle-Image-Velocimetry (mPIV) is feasible and effective to measure the current culture
medium flow rate in an OoaC automation context is your opportunity to work on an exciting project, which has an impact on research as well as the pharmaceutical industry. - Biomechanical Engineering, Computer Vision, Image Processing, Simulation and Modelling
- Master Thesis
| You will work on a vision-based dental tool tracking in a dental phantom head. - Engineering and Technology
- Master Thesis
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