2 PhD and 1 MSc student will be hired for a TUBITAK 1001 project entitled “Deep Learning and Computer Vision Assisted Multi-UAV Search and Rescue System“. The project will be led by me and it will be conducted in cooperation with Istanbul Technical University. The project duration is 3 years. The project consists of algorithm development as well as real-world implementation. All students will contribute to real-world tests and system integration efforts. In addition to the TUBITAK scholarship, further financial aid will be provided following Ozyegin University guidelines. For more info, visit https://www.ozyegin.edu.tr/en/graduate-school-engineering-and-science/financial-aid
1 PhD student will focus on multi-objective optimization in multi-UAV path planning and task assignment. Expertise in optimization, UAV swarming, and/or robotic path planning is required. Experience in practical UAV systems and ROS is desired.
1 PhD student will focus on cross-layer MAC and network protocol design for mission-oriented multi-UAV networks. Expertise in wireless networks and swarm intelligence is required. Experience using a network simulator is strongly encouraged.
1 MSc student will participate in real-world test design and implementation of protocols on a UAV. Experience in practical UAV systems and ROS is required.
To apply: prepare a single PDF file that contains a letter of interest that indicates which position you are applying for and outlines why you are suitable for it; current CV with list of publications; diplomas, transcripts, and contact details of two references. Please send your application file to firstname.lastname@example.org.