Open Positions

PhD student and Postdoc openings in Deep Learning, Control, and Robot Vision for Agile, Vision-based Quadrotor Flight

Job description

Several PhD student and Postdoc opportunities are now available, working with Prof. Davide Scaramuzza on research projects sponsored by the DARPA FLA program, the SNSF-ERC Starting Grant, and the NCCR Robotics. As a PhD student or Postdoc in our lab, you will work in a team of researchers developing new algorithms to advance the state of the art on autonomous and agile navigation of vision-controlled quadrotors. Applicants with an interest in, and strong experience with one of the following disciplines are encouraged to apply: Deep Learning, Control, Robot Vision. Our vision is to make drones one day able to navigate as birds or better than birds, using mainly onboard vision sensors. To achieve this goal we investigate how machine learning, novel sensors (such as event cameras), and coupled perception and control can be used to advance the state of the art. We are looking for motivated researchers to help make this vision a reality!

An up-to-date list of our current research projects is here. While, for videos, check out out our YouTube channel. You will also work in close collaboration with other research groups from ETH, EPFL, and UPENN.

The position is fully funded. PhD student and Postdoc positions in Switzerland are regular jobs with social benefits (i.e., a pension plan!). You will get a very competitive salary and access to excellent research facilities (motion capture, 3D printing, a large flying arena, electronic and machine workshops). Zurich is regularly ranked among the top cities in the world for quality of life. Additionally, we have a very enjoyable work atmosphere and organize many social events, such as ski trips, hikes, dinners, and lab retreats.

Women are strongly encouraged to apply.

Who we are

We are a research lab of the Computer Science Department of the University of Zurich. As of August 2017, our lab will be affiliated with the Institute of Neuroinformatics of the University of Zurich and ETH Zurich. The lab was founded in 2012 and has made world-class contributions in visual SLAM, event-based vision, and vision-based navigation of quadrotors, which resulted in many prestigious awards. Our lab has been many times in the in the spotlight of the international press . More recently, we were on many news worldwide for our works on deep learning for autonomous forest trail following and agile navigation of quadrotors using standard cameras or event based cameras .

Your Skills (for the position in Robot Control)

In addition to a passion for computer vision, robotics, mathematics, programming and abstract thinking, you should meet the following requirements:

  • Master or PhD degree in Computer Science, Robotics, Electrical, Mechanical Engineering, Physics, or closely related fields
  • Excellent academic track record (for postdocs: with publications in high-impact-factor journals)
  • Very good English skills, written and spoken
  • Strong background in one of the following: Deep learning, Control, Computer Vision
  • Strong C++ skills
  • Skill to analyze and improve algorithms
  • Ability to work organized and independently
  • Strong team player

Familiarity with tools such as ROS, OpenCV, and Git is desirable.

Starting Date

Starting Date: January 2017 but later starts are also possible. Application deadline: December 1, 2016. The evaluation of the candidates starts immediately and will continue until the position is filled. Check here for updates.

How to apply



You will be requested to upload single PDF including (in the order):

  1. Letter of motivation (max half page). Please specify your strong experience in "one" of the following: Deep Learning, Control, Computer Vision. If Postdoc applicant, please show evidence with publications in the field.
  2. Your CV (please include: your Nationality for visa requirements, Date of Birth, your English level, scientific publications if any, hobbies). If postdoc applicant, please include the publication list and reprints of your 3 major publications;
  3. Transcripts of records of your BSc. and MSc. degrees (for PhD position applicants);
  4. List of at least 3 referees (support-letter writers). Support letters can be added if available; if not available; they will be requested only if your application is considered

Please include your homepage and link to videos if available. For applicants to the PhD student position, please also link your BSc. or MSc. theses or past works if available. The letter of motivation should comment on the required skills mentioned in the bullet point list above.


For questions, please contact Prof. Davide Scaramuzza at: careersrpg (AT) ifi (DOT) uzh (DOT) ch (please do not use his private email for inquiries about these job positions). Applications sent directly by email and not through the web form will not be considered. In case of positive feedback, you will be contacted within 3 weeks.