[visionlist] [Jobs] PhD Position on Efficient and Scalable Semantic Segmentation at the University of Bonn

[Christopher Steven McCool]

The Agricultural Robotics group at the University of Bonn (Germany), headed 
by Prof. Dr. Chris McCool, has an open and fully funded PhD position. The 
topic of research will be centered on developing efficient and scalable 
networks for robotic perception (semantic segmentation) under resource 
constraints.

Scene understanding (to know what is where) is achieved using 
computationally intensive deep learnt semantic segmentation networks. 
Running these systems on multiple viewpoints (globally and locally) in 
real-time on robots remains a crucial yet challenging task.

The successful candidate will develop novel algorithms that perform 
efficient and accurate semantic segmentation which can adapt according to 
the available compute resources, as well as model uncertainty estimation 
approaches. In the end, these systems will be deployed on robots in the 
field to enable crop interactive modelling, 3D modelling and even robotic 
harvesting.

The ideal candidate will have a strong interest in state-of-the-art vision 
systems and enjoy seeing their work deployed on platforms operating in 
challenging conditions in the field. The candidate should also have strong 
programming skills (Python or C/C++) and have some experience in Computer 
Vision/Deep Learning; ROS experience is also considered a plus (but not 
mandatory).

You will have the opportunity to work within a welcoming and very 
international group along with a competitive salary (see the links below) at 
the TV-L E13 salary scale. The successful candidate will have the 
opportunity to be part of the PhenoRob Cluster of Excellence 
(https://www.phenorob.de/).

Closing Date: November 17th, 2021 with a rolling deadline if necessary. 
Applications will be reviewed upon submission.

Start Date: 1st quarter 2022.

How to Apply: all applications should be sent to cmccool at uni-bonn.de and 
should include the following:
* your CV,
* short letter of motivation,
* transcripts of records,
* relevant links (e.g. own website, github, Google Scholar, etc.),
* link to the PDF file of your MSc thesis, and
* name/email/phone number of two referees which we can contact.

Requirements:
* Relevant Master’s degree
* Very good English language skills

Other Information:
OTHER INFORMATION AND LINKS
* Agricultural Robotics Lab: http://agrobotics.uni-bonn.de/
* Cluster of Excellence PhenoRob: https://www.phenorob.de/
* University of Bonn: https://www.uni-bonn.de/en?set_language=en
* Bonn, Germany: https://en.wikipedia.org/wiki/Bonn
* Salary calculator (in German): 
http://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&g=E_13&s=1&zv=VBL&z=100&zulage=&stj=2020&stkl=1&r=0&zkf=0&kk=15.5%25