Internship - Research Thesis, Intelligent Vehicles & ML

Internship - Research Thesis, Intelligent Vehicles & ML

Project: Machine learning based comfort assessment in passengers of automated vehicles based on physiological signals.  

Siemens Digital Industry Software – Tomorrow with Us!  

Meet the interns by clicking here!

Based: Leuven, Belgium. Hybrid / Working on-location. Part-time. Up to 9 months length.

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Simcenter Simulation and Test (STS) Solutions create a more sustainable future. Join the engineers developing the best possible products using the powerful predictive STS applications of Simcenter. By combining advanced engineering tools with industry expertise and dedicated support, we empower innovators.

STS Internship Program, Belgium.

The intention of this program is to provide real-world internship experience. It supports students with topics related to simulation software, testing systems, and customer practices. Domains include system dynamics, structural integrity, flow-thermal analysis, control systems, reliability, acoustics, and energy efficiency. Additionally, the internships align with the academic programs of the most prestigious technical universities in Belgium and the EU. This ensures support for ongoing innovation activities and hands-on experience with simulation models.

At the conclusion of the program, interns become part of the SIEMENS Software Early Careers network. This will give them visibility for our graduate programs and associate positions globally.

The research goal of: Machine learning based comfort assessment in passengers of automated vehicles based on physiological signals.  

The objective of this master's thesis is to develop a solution for detecting comfort through physiological measurements and correlating these measurements with vehicle dynamics and proximity data from surrounding actors using machine learning techniques. The proposed framework will consist of three phases: bio-signal pre-processing, comfort-relevant bio-signal feature extraction, and comfort detection through unsupervised machine learning algorithms. This system aims to be integrated into an Advanced Driver Assistance System (ADAS) that continuously tracks passenger comfort levels and provides feedback to a controller for adapting driving styles, ultimately enhancing the overall driving experience.

About you:

You are currently pursuing research master’s degree in engineering with emphasis in intelligent vehicles. For this internship it is necessary to be enrolled in an engineering program.

• You're proactive, results-driven, and motivated, with a solid academic background.
• You enjoy working with sensors and measured signals.
• You have experience with deep learning frameworks like PyTorch and/or TensorFlow.
• You're confident in your Python programming skills.
• You have a passion for automotive technology and autonomous driving applications

Requirements for the applicants

• Strong command of English (spoken and written) and enjoyment in communicating ideas and collaborating.
• SIEMENS DISW follows export control procedures for sensitive technologies; hence, interns undergo background checks like normal employees and can be vetted on this basis.
• A motivation letter explaining how the internship will fit into your current academic program must be included as a page of your CV in PDF format.

Important information of the STS Internship Program

The STS Internship Program evaluates applicants on a case-by-case basis. All interested students must complete the necessary fields and screening questions as accurately as possible and upload their most recent CV in a format supported by the system (PDF or Word). Matched candidates will be contacted if their profile, research interests, and technical support capabilities meet the criteria. SIEMENS DISW do reserve the right to close registrations based on volumes. This is an unpaid academic program. Siemens Industry Software provides the accommodation and the laptop during the period of the internship.

Why Working at Siemens Software?

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We are Siemens

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

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