Your future job

Melexis offers a wide range of magnetic sensors for automotive applications. In order to maximise sensors performance accurate stimuli are applied during the testing phase. 
The Control and knowledge of the stimuli is key to deliver the best quality to our customers.
Current calibration methodology of our magnetic field is based on standard regression, latest research shows possibility to use Bayesian approach in order to build a better estimator.


As part the Process team you will be fully integrated in a multi cultural and multidisciplinary team. Located on one of Melexis state of art production site in Ieper, Belgium, your mission will consist in:

• Understand the context, current methodology and objective

• Study the Bayesian approach and the details of tree-dimensional magnetic sensor 

• Perform a feasibility and proof of concept of the approach

• Share the knowledge acquired to guarantee continuation

Your profile

• Good knowledge in programming (Python, C, C++)

• Good level in mathematics, regression, statistics. 

• Capable of high abstraction level

• Good knowledge in intersystem communications skills 

• Hold a technical conversation in English

• Organizational skills, team work oriented and be self-motivated

• For 4th or 5th year student in engineering school

• Effective communication skills in English

We offer

• a challenging job in a dynamic high-tech international environment

• the opportunity to take ownership of your professional passion in order to contribute to the success of the company

• an enjoyable, team-oriented  and professional  atmosphere in a flat-structured organization

• versatile development opportunities