Navigation aims to determine the position, velocity and attitude of platforms, humans and animals. Commonly, fusion between several sensors is required to obtain accurate navigation. The Autonomous Navigation and Sensor Fusion Lab (ANSFL) researches problems in the fields of autonomous navigation, inertial navigation systems, estimation theory and related fields. Our focus is mainly (but not only) in marine platforms such as autonomous underwater vehicles, buoys, drifters and surface unmanned vehicles. Current research goals are to derive unorthodox inertial and sensor fusion algorithms, hunt for the next inertial navigation system architecture and pioneer deep learning based navigation approaches.
Required elements for research-based postdoc applications:
Postdoctoral research fellow positions are available in navigation, deep-learning and sensor fusion. The positions will provide an opportunity to advance breakthrough scientific discoveries in those fields. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Funds for some conference travel and research expenses will also be provided. Openings are available immediately, but there is flexibility in start dates. While all candidates will be considered, the ideal candidate will have the following qualifications:
- Applicants should have a doctorate degree in engineering, computer science, or a related discipline
- Programming expertise in Python, Matlab, or another programming language is essential
- Experience with deep learning frameworks and tools is useful
University of Haifa, 199 Aba Khoushy Ave Mount Carmel, Haifa, Israel.