Research Associate

We seek a highly skilled and experienced researcher in embedded system development and continuous delivery. Our candidate has a wealth of practical experience in hardware and software development, a keen eye for detail, and a commitment to excellence. Our researcher is proficient in C/C++ and Python programming and profoundly understands the latest tools and techniques for continuous integration and delivery. Whether to streamline the development process or optimize hardware and software for maximum performance, our candidate has the knowledge and expertise to do the job right. In addition, our researcher is well-versed in the security aspects of hardware and software development, with a keen understanding of the latest threats and vulnerabilities. The ideal candidate also has a sound knowledge of the Linux operating system and virtualization, allowing work seamlessly across various platforms and environments. The candidate should have the desire to foster or build up sound knowledge in machine learning, which is a crucial technique in developing and analyzing embedded systems. Our researcher can pursue a dissertation in applied machine learning as part of a funding project in the area of dependable embedded systems. This exciting opportunity would allow our candidate to apply cutting-edge machine learning techniques to the development of highly reliable and robust embedded systems, with the potential to make a real impact in this rapidly evolving field. With the support and guidance of a dedicated team of experts, our researcher will make a real contribution to the field of embedded system development. If you're a talented and driven researcher with a passion for embedded systems and machine learning, contact us today to learn more about how our research project can help take you to the next level and to explore the exciting possibility of a dissertation in the field of applied machine learning! Requirements profile: As an applicant, you have completed a university degree of at least 240 ECTS in electronics, electrical engineering, computer science, software development, mathematics, physics, or similar areas and ideally have several years of specialized professional experience. We offer: • A family-friendly work environment • Remote work: fixed or occasional telecommuting days • Flexitime arrangements • (Parental) part-time employment • Sabbatical and leave of absence • Paternity leave: two weeks of paid special leave and unilateral two-week vacation or compensatory time off • Paid 20-minute daily lunch break starting from the sixth hour of work • More vacation time: six weeks of paid vacation after the 43rd year of life and six years of service or immediately upon reaching the age of 50 • Paid time off for special family occasions • Contingent of childcare spots in nearby childcare facilities (for employees with a primary residence in Graz) • one week of childcare during the summer holidays

Last updated: 23 March 2023