Machine Learning Specialist

## Machine Learning Specialist (100%)

Swisens, a spin-off of the Lucerne University of Applied Sciences and Arts (HSLU) founded in 2016, develops and produces cutting-edge aerosol measurement systems that are designed to make the microcosmos of aerosols more visible in real time. Our focus is on pollen and spores, but we have ambitious plans to expand our technology to measure all types of air-borne particles. We use artificial intelligence to identify these particles based

on the measurement data. Our system, for example, provides concentration values for specific types of pollen, which is achieved through the use of advanced classification algorithms. We have partnered with leading research organizations such as MeteoSwiss, Finnish Meteorological Institute, Vienna University, the Federal Institute of Metrology (METAS) and Manchester University, which have helped us to develop solutions that improve productivity, increase process safety and provide new insights for our customers to add financial or scientific value. At Swisens, we are proud to have measurement systems installed in many countries across Europe, Asia, and Australia and look forward to continuing our work with our valued partners and customers.

• Your Role

As our machine-learning specialist, you take ownership of and drive our efforts in relation to the classification of airborne particles. The main focus areas are improving our existing classification pipeline and develop a new geo-spatial forecasting model.

To fill this role, we are looking for someone who :

At Swisens, we are committed to fostering a culture of innovation, collaboration, and growth. We offer a dynamic and challenging work environment where you can make a real impact and achieve your career goals. Join us and be part of a team that is changing the way we understand and monitor the air we breathe.