Master Thesis worker in Active Learning

Kognic is a fast-growing startup with a mission to provide the world’s best platform to make safe perception for autonomous mobility happen. We are now looking for a master thesis student for the spring 2023.

Project scope

This position is a master thesis project, typically encompassing 30 ECTS or equivalent. The project amounts to investigating how some of the latest active learning methods can help speed up the annotation process by actively selecting only the most valuable data for annotation. We expect the work to be based on research, documented with source code as well as a well-written thesis according to the instructions of the applicant’s home university.

Requirements

The applicant has to be about to complete their MSc degree (or equivalent), with only a master thesis project left before graduation. The anticipated degree should be within the area of autonomous driving or a closely related field. We expect the applicant to already hold a BSc degree (or equivalent) in a related field. In particular we expect theoretical knowledge and practical experience of…

- Programming (in particular python and pyTorch/Tensorflow)

- Computer vision (in particular camera and Lidar images)

- Deep learning (in particular object detection, such as faster R-CNN and YOLO)



In addition, we expect the applicant to be fluent in English and be able to read and understand research articles in the field. It is also highly valuable if the applicant has a good understanding of autonomous systems and the automotive industry in general, as well as general knowledge within robotics, control systems and decision making. Moreover, we also highly value the applicant’s teamwork and communication skills, as well as their personal engagement and appetite for challenges.

Application
We recommend submitting your application as soon as possible as we select and interview continuously. If you have any questions regarding the position, please contact: padma.subramanian@kognic.com.

About Kognic
Kognic was founded in 2018 by Oscar Petersson and Daniel Langkilde, two engineering physicists working in the field of Deep Learning. Our mission is to make safe perception for autonomous mobility possible. We now support world-leading companies in the field of Autonomous Driving, Advanced Driving Assistance Systems and Active Safety development worldwide. Our office is located at Lindholmen in Gothenburg, just by the beautiful waterfront and Lindholmen Science Park.