Fully funded PhD position at Aarhus University Title: Advanced and reliable autonomy in aerial robotics for high speed trajectory tracking using deep neural networks
Research area and project description: Applications are invited for a fully funded PhD studentship position within the Department of Engineering at Aarhus University, Denmark starting in Fall 2019. At Aarhus University, you will have thrilling opportunity to apply the latest machine learning/artificial intelligence technologies to solve real-world problems, such as high speed, agile manoeuvres for drones. We are looking for qualified, talented, and enthusiastic PhD students who wish to investigate the embedded guidance, control and navigation problem of unmanned aerial systems using artificial intelligence/machine learning methods. Our aim is to leverage the current state-of-the-art autonomy level towards smarter robots, which will learn and interact with their environment, collaborate with people and other robots, plan their future actions, and execute the given task accurately. What you stand to gain: a fully funded PhD position for 3 years (starting Fall 2019) at the Department of Engineering, Aarhus University; a fun environment to drive your passion for robotics. The research will be carried out under the supervision of Associate Professor Erdal Kayacan ( https://urldefense.proofpoint.com/v2/url?u=http-3A__www.erdal.info&d=DwICAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ZfDBlGDIbei49bxzkRoCkvmNDrsukj3uJasSVv7VaMc&s=I7OdiKWZfb4vK8_p2hdIj_anQqe-AJjvPx1NLG-Dml8&e= ). Qualifications and specific competences: Required: A Master's degree in mechanical engineering, electrical engineering, aerospace engineering, computer science/engineering, control theory, mechatronics, applied mathematics, or other related disciplines Excellent verbal and writing skills in English with very good communication skills Experience in Robot Operating System (ROS) Concrete knowledge in C/C++ Preferred: Hands on experience in UAVs and basic understanding of UAV models Demonstration of research activities (conference or journal papers) --- Here is the official link for the PhD applications: https://urldefense.proofpoint.com/v2/url?u=http-3A__phd.scitech.au.dk_for-2Dapplicants_apply-2Dhere_may-2D2019_advanced-2Dand-2Dreliable-2Dautonomy-2Din-2Daerial-2Drobotics-2Dfor-2Dhigh-2Dspeed-2Dtrajectory-2Dtracking-2Dusing-2Ddeep-2Dneural-2Dnetworks_&d=DwICAg&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=ZfDBlGDIbei49bxzkRoCkvmNDrsukj3uJasSVv7VaMc&s=TKRc_ghvHZkP6_wyRFy2C4FyzzUNyyNIDTOLN-OClbg&e= --- Get your graduate degree at a top 100 university! The Graduate School of Science and Technology at Aarhus University is looking for a bright, enthusiastic and ambitious candidate who is interested in pursuing a PhD education. The University is located in Aarhus, Denmark, which provides international students with a safe and stable environment, a high standard of living and a wealth of social opportunities. Besides having an excellent reputation that enables our PhD graduates to find outstanding employment prospects, Aarhus University offers attractive working conditions, research support and campus resources. Application deadline is 1 May 2019, with a starting date of 1 August 2019 or later.
_______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
