TL;DR
Industrial PhD, Perception Team (AI): Drive high-impact research within the context of the EASe project, exploring and devising methodologies to establish Foundation Models to evaluate and improve the safety of autonomous systems. Focus on bridging cutting-edge academic research with industrial application, completing required PhD coursework, and authoring scientific papers for international journals.
Location: On-site in Gothenburg, Sweden
Company
hirify.global is an innovative company transforming road freight with digital, electric, and autonomous technologies, aiming to accelerate sustainability goals globally.
What you will do
- Drive high-impact research within the EASe project focused on Foundation Models for autonomous systems safety.
- Complete required PhD coursework at Chalmers University of Technology.
- Act as the primary link for knowledge transfer between hirify.global's R&D team and the university research group.
- Author scientific papers for international journals and conferences.
Requirements
- Master’s degree in Robotics, Artificial Intelligence, Computer Science, or a related field.
- Strong foundation in linear algebra, data structures, algorithm design, and complexity analysis.
- Experience in C/C++ and Python, with practical deep learning frameworks like PyTorch and TensorFlow.
- Strong problem-solving skills with a desire to combine theoretical depth with practical industrial problem-solving.
- English: C1 required (fluency in both verbal and written is mandatory).
- Must meet entry requirements for doctoral studies at the Graduate School at University of Gothenburg.
Culture & Benefits
- Be part of a diverse, high-performing team with a passion for sustainability.
- Work on innovative solutions transforming road freight with electric and autonomous technologies.
- Opportunity to contribute to a company recognized for deploying cab-less autonomous electric vehicles.
- Collaborate within a vibrant ecosystem including Volvo, Ericsson, and AI Sweden.
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