Research Engineer Autonomous Navigation

You will design, implement and validate new solutions, resulting in new prototypes and applied solutions in the field of autonomous navigation; Typical examples of application are precise mapping and localization in challenging and featureless environments.

• At least Master of Science in a relevant technical discipline, like mechanical engineering, electrical engineering, applied physics, applied computer science or mechatronics.
• Knowledge of and experience with different sensor and fusion technologies, especially regarding the application for autonomous navigation.
• Enthusiastic team player, who involves other engineers, companies and students in the project and is driven to contribute to team results.
• A minimum of 2 years of experience with (applied) research or engineering projects.
• Affinity with education and ability to motivate students.

• The following salary scale: scale 11: min € 4,234 / max € 5,936 (cao-hbo) working on a full-time basis.
• 8% holiday allowance and 8.3% year-end bonus.
• You will receive a temporary contract, with the possibility of extension.
• A generous leave policy. For example: if you work full-time and have opted for a 40-hour week you can take 428 hours of leave annually. This means you will have 53.5 holiday leave days, including statutory holiday days and public holidays.
• Personal development: follow an inspirational webinar, workshop or training course at our internal Saxion Academy, do a career check or explore the possibilities of taking a master’s degree or PhD programme or professional doctorate.
• The Saxion Hybrid Working Package
• A comprehensive retirement plan. See the cao-hbo for more information.
• 100% allowance for travel by public transport and tax benefits on the purchase of a bicycle.

At Saxion we explore future developments, look beyond our borders and disciplines and drive innovation. By doing this together we contribute to a smarter, safer and more sustainable world. We question how significant technological innovations are and how they can contribute to humanity, society and our planet. We teach our students to look at social issues from a broad perspective and to come up with practical solutions.

School of Life Science, Engineering and Design

As Research Engineer  you will be a member of the Smart Mechatronics And RoboTics (SMART) research group. This team is part of the School of Life Science, Engineering and Design (LED). LED offers an inspiring and effective learning, work and research environment, focused on applied technologies and recent national and international developments.

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