Senior Researcher in Sensor Fusion and Active Vision
il y a 2 semaines
Topic
To really empower machine vision both in terms of accuracy and efficiency, sensor fusion and scene analytics must go beyond passive interpretation of the scene.
Sensing and computing power must be directed to where it is most essential for task performance (called active sensing), based on cues from earlier observations or from different sensors.
This may be achieved by analytics feeding back information to the sensors, which can then, for example, adjust their sensitivity, field of view, resolution or power setting to this information.
This feedback will require the development of novel, flexible AI architectures that combine the power of deep learning with a high degree of reconfigurability and adaptability to changing sensor dynamics.
In your research, you will explore these active sensing concepts both for current sensor fusion systems and for next-generation steerable sensors, the design of which you will shape through cooperation with leading industrial partners and innovation hubs.
At IPI, we offer you the opportunity to conduct research in a highly international and friendly working environment. We provide ample opportunity for researchers to take initiative in their work and to develop their professional networks.
The salary is competitive and will be determined by salary scales corresponding to your education, experience, and qualifications, with room for growth based on performance.
Staff members can count on a number of benefits, such as a broad range of training and educational opportunities, 36 days of vacation leave (on an annual basis for a full-time position), meal checks, and more.
Who you are- You have recently obtained a PhD or are close to obtaining one in computer science, electrical engineering and/or you have several years of expertise in sensor fusion, computer vision or related research and experience with collaborating with industry. A strong background knowledge of the fundamental theory underlying sensor fusion, computer vision, or related topics (including the mathematical and probability theory related aspects) as evidenced through publications or other research achievements is important.
- You are fluent in written and oral English and able to communicate your original ideas and results clearly and concisely.
- If you do not fully meet the above requirements yet, but are capable of developing the missing skills, you may still qualify. You can learn on the job.
- A detailed CV, describing your earlier experience and studies;
- A list of publications and/or research projects you have actively participated in, with a description of your role and contribution;
- A transcript of your educational record (list of courses per year, number of obtained credits, obtained marks) if available. This need not be official documentation at this stage;
- If available: 13 English language documents describing your earlier research or technical work (e.g., scientific papers, master thesis, report on project work, etc.). These documents need not be on the topic of the advertised position.
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