[robotics-worldwide] [jobs] Open PhD and Postdoc positions at the Uni. of Zurich in Robotics, Machine learning, Reinforcement Learning, Control, Computer Vision , Event Cameras and beyond

Davide Scaramuzza scaramuzza.davide at gmail.com
Wed Nov 14 10:46:28 PST 2018

Several openings at both PhD and Postdoctoral levels in Robotics, 
Machine learning, Reinforcement Learning, Control, Computer Vision, 
Event Cameras, and beyond are available in professor Davide Scaramuzza's 

Info and how to apply: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_positions.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=CTV4RrOrleouijsP0wd2_NY8OK5nKrDbAr3Yeh8nHpA&e=

Mission of the lab
The mission of our lab is to develop novel perception, control, and 
learning algorithms that will allow one day mobile robots to navigate 
autonomously in dynamic environments using onboard vision sensors. To 
achieve this goal we investigate how machine learning, novel sensors 
(such as event-based cameras), and coupled perception and control can be 
used to advance the state of the art of mobile robots. Most of our 
research is carried out on drones rather on ground robots due to their 
inherent instability, increased speed and agility, and ability to 
navigate in 3D. We are looking for motivated researchers to help make 
this vision a reality!

Job Description
Job1: PhD student and Postdoc in Vision-based Navigation
You will work on novel vision-based control and/or planning algorithms 
that combine model-based and machine learning methods (both deep 
learning and/or (Inverse) Reinforcement Learning) to accomplish robust 
navigation tasks in dynamic and harsh environments. The robot to be 
controlled can have both a rigid or an articulated shape, which can be 
changed on the fly depending on the task (video: 
https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_watch-3Fv-3DwmwxqLHUZC0&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=Xj5-mzrQg0GjkpdyI_2ZIlJnjS4Y3TizgbVIFUcjPSA&e=). More on our research on 
combination of model-based and deep learning methods (papers and videos) 
can be found here: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_research-5Fmav.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=f-DPS3n1koO2-ZKz-yC2rX2VivgBtv3QOe2jL1lZI-U&e=
More on our research on control for micro drones (papers and videos) can 
be found here: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_research-5Flearning.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=uFxqwnrFFDVu_IATfpoDVdFaEw92dvubmjp6s9-KMpE&e= and here: 

Job2: PhD student and Postdoc in Computer Vision
You will work on novel vision-based algorithms that combine classical 
geometric approaches with deep learning to accomplish robust scene 
understanding or Simultaneous Localization and Mapping (SLAM) using 
traditional cameras in combination with novel sensors, such as the event 
cameras or SCAMP). More on our research on event cameras (papers and 
videos) can be found here: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_research-5Fdvs.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=J2KOBu3qbHUNQvJH11PdykxSWmtWhoZ3MionbN5Zoo4&e=
Our research on visual inertial odometry with standard cameras can be 
found here: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_research-5Fvo.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=7opM6AyXth8CYDXddrMpoPrsIR4ZsOUiOR1OInkSX_g&e=

An up-to-date list of our current research projects is here: 
For videos, please check out our YouTube channel. For media coverage of 
our research, please check out our media page.

The position is fully funded. PhD student and Postdoc positions in 
Switzerland are regular jobs with social benefits (e.g., a pension 
plan!). You will get a very competitive salary and access to excellent 
research facilities (motion capture, 3D printing, large flying arenas 
(indoors and outdoors), and electronic and machine workshops. 
Additionally, we have a very enjoyable work atmosphere and organize many 
social events, such as ski trips, hikes, lab dinners, and lab retreats. 
Zurich has been regularly ranked among the top 1-2 cities in the world 
for quality of life (link). Over the past 10 years Swiss robotics 
research has developed so much that Switzerland was recently chosen by 
Forbes as the Silicon Valley of robotics: 

Who we are
Our research lab, called the Robotics and Perception Group, belongs to 
two departments: the Dept. of Neuroinformatics of the University of 
Zurich and ETH Zurich and the Dept. of Informatics of the University of 
Zurich. The lab was founded in 2012 and has since made world-class 
contributions in visual SLAM, event-based vision, and vision-based 
navigation of quadrotors, for which it has received many prestigious 
awards and research grants (Google, Intel, Qualcomm, Huawei, Nikon, 
KUKA). The research carried out in our lab has also received extensive 
media coverage in popular press (Discovery Channel, BBC, Washington 
Post, etc.).

Your Skills
A passion for computer vision, robotics, mathematics, programming and 
abstract thinking
Excellent written and spoken English skills

- For PhD candidates:
a Master degree in computer engineering, computer science, mechanical 
engineering, robotics, physics, or related fields

- For the Postdoc in Vision-based Navigation
A PhD degree in computer engineering, computer science, robotics, or 
related fields
Excellent track record (publications in high-impact-factor conferences 
and journals)
Proven theoretical and practical experience in one of the following: 
solving large-scale reinforcement-learning, machine learning, and/or 
recommender system problems.
Ability to develop and implement complex algorithms efficiently

- for the Postdoc in Computer Vision
A PhD degree in computer engineering, computer science, robotics, or 
related fields
Excellent track record (publications in high-impact-factor conferences 
and journals)
Proven theoretical and practical experience in solving large-scale 
computer vision and/or machine learning problems.
Experience in complex systems' analysis, including multi-objective 
optimization and the quantification of uncertainty as it propagates 
through a complex system.
Experience working independently in a shared machine learning 
implementation setting

Recommended: Strong experience with C++, Python, Deep Learning 
frameworks, GPU optimization skills. Familiarity with tools such as ROS, 
TensorFlow, OpenCV, and Git is desirable.

Starting Date
Starting date: Between 1st of January and 1st of April 2019. The 
evaluation of the received applications starts on December 1 and will 
continue until the position is filled. Check the website for updates.

How to apply: https://urldefense.proofpoint.com/v2/url?u=http-3A__rpg.ifi.uzh.ch_positions.html&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=CTV4RrOrleouijsP0wd2_NY8OK5nKrDbAr3Yeh8nHpA&e=

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 the fields related to the openings (including the skills 
recommended above if matching). Postdocs applicants, please show 
evidence with publications in strong venues.
2. Your CV (please include: your nationality for visa requirements, date 
of birth, your English level, scientific publications if any, 
programming skills, hobbies). Postdoc applicants: please include the 
publication list and reprints of your 3 major publications;
3. List of at least 3 referees (support-letter writers). Support letters 
will be requested only if your application is considered. So you don't 
need to upload them now.
Please include your homepage and link to videos and code if available.

Best regards

Davide Scaramuzza


Prof. Dr. Davide Scaramuzza
Director of the Robotics and Perception Group: 
Inst. of Informatics, University of Zurich,
Inst. of Neuroinformatics, University of Zurich and ETH Zurich
Andreasstrasse 15, AND 2.10, Zurich, Switzerland
Office: +41 44 635 24 09
YouTube Channel: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.youtube.com_ailabRPG_videos&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=2QpZ4LcR5Ia0BVDwO_MDpF5iwI-d8JHeblOmjpE731o&s=RRRWgZFY0fvcE29h4q7WgZlncJ0Tq0UJWJXz1PFqMOE&e=

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