THESIS PROPOSAL: Simulation for Verification and Validation of Machine Learning Systems

KEY WORDS

Machine learning, Simulation, Image processing, Computer vision, Object detection 

TARGETED PROGRAMS

MSc Computer Engineering/Science, Automation & Mechatronics Engineering  

PURPOSE OF THE STUDY 

Infotiv, as a part of research project ArtWork (The smart and connected worker) is interested in investigating the use of simulation and digital twins of factory workers, equipment, and tools. The goal is to enable quick prototyping and testing of machine learning models used to monitor and control agents in such environments. 

The purpose of the study is to evaluate and improve the effectiveness of using simulation for: 

• Localization and monitoring of agents, (factory worker, equipment and tools) 

• Developing machine learning model to monitor and control object and agents and their pose 

• Verification and validation of the existing ML models 

Potential research questions: 

• Verification and validation of complex machine learning based model in simulator 

• Human pose estimation using ML 

• Multi-Camera localization, tracking and mapping 

• Multi-agent Indoor navigation 

Please read more about this project in this opensource repository https://github.com/infotiv-research/SIMLAN/ 

WHO ARE WE LOOKING FOR? 

We are looking for 2 master students with a background in mechatronics, computer science/engineering or equivalent program, who wish to conduct their thesis during the spring of 2025. Applicants shall be interested in software development and computer vision and have experience of programming in languages such as C++ or Python. It is meritorious to have previous experience from or knowledge of Machine learning, ROS2, Nav2, Gazebo simulator, Git, Continuous Integration, Delivery or Deployment, Jenkins, Test Automation. 

ABOUT US 

TechDev is a department at Infotiv who focuses on SW & HW development and test solutions. We currently consist of 70 technical consultants with diverse backgrounds and experience from many technological fields. Our employees use their expertise to provide tailored solutions to all kinds of challenges, ranging from SW development, machine learning and simulations, to project & test management and way of working. One of our key strengths is the friendly atmosphere in our technical community, which provides access to TechDev's collective knowledge through internal collaboration tools and competence leader program, continuously providing updates in the latest tech. 

HOW TO APPLY 

Apply for this thesis no later than 2024-12-01. Assure to attach your resumé and a short summary of why you want to partake in this thesis.  We only consider applicants avaliable for on-site work at our office in Gothenburg. 

For further information, contact: Maria Alemyr [maria.alemyr@infotiv.se] +46(0) 76 890 78 72 .