PhD in Computer Vision/Deep Learning for Autonomous Driving - Hiring in process/Finished, not possible to apply

Halmstad University and the School of Information Technology announce the availability of a Lic. Ph.D. position in Computer Science and Engineering.

Description

The selected Ph.D. student will carry out research on developing novel generative neural networks to achieve knowledge transfer between various sensor modalities. The Ph.D. work also involves implementation of novel stochastic regularization methods to make the autonomous vehicle more robust to failures in a multi sensor setup. The research will be performed within the SHARPEN (Scalable Highly Automated vehicles with Robust PErceptioN) project in close collaboration with Volvo Technology AB. Therefore, the candidate requires spending time both at Halmstad University and Volvo in Gothenburg.

The selected Ph.D. student will be responsible for conducting research within the SHARPEN project and for participating in the required Ph.D. course activities. The employment also includes teaching responsibilities corresponding to a maximum of 20% of full-time. Applicant will be part of an international workgroup and an English-speaking environment.

This is a full-time position available from April 2019 for a period of one year with a possibility of a further extension, subject to satisfactory progress of the Lic. Ph.D. study and funding availability. Enough resources to fund experiments and conference travels are available.

Requirements

The ideal candidate has a Master’s degree in computer science, machine learning, robotics, mathematics, physics, or a related engineering discipline. A strong background in computer vision, machine learning, or software engineering is desirable. Excellent programming skills, analytical problem solving and organizational abilities are required. Prior practical experience in deep learning is a plus.

Application

Applications should be sent via Halmstad University's recruitment system (see link on this page).

A full application consists of:

1. a detailed CV
2. a motivation letter / research statement
3. two reference letters
4. copies/links to publications and software samples, if any
5. degree certificates and grade transcripts (master and bachelor)
6. summary (1-2 pages) of the master’s thesis

List of qualifications and other documents that the applicant wishes to refer to should be enclosed with the application. All copies must be attested.

Work Environment

Halmstad University is a young university which has around 11,000 students and offers around 50 programmes and over 130 courses within several subject fields. The university is located in Halmstad which is a port, university, industrial and recreational city at the mouth of the Nissan river, in the province of Halland on the Swedish west coast.

The position is at CAISR (Center for Applied Intelligent Systems Research), which is a long-term research program on intelligent systems at the School of Information Technology at Halmstad University. The focus of the centre is on aware intelligent systems, computer systems that are human aware, situation aware and to some extent “self-aware". This means systems that can communicate with humans, systems that can be aware of human intentions, systems that can fuse information and be aware of the situation and not just individual sensor readings, and systems that can be self-monitoring.

General Information

We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience.

Read more about Halmstad University at http://hh.se/english/discover/discoverhalmstaduniversity.9285.html