Information about the project
The automotive future is getting electrified, autonomous, and connected, allowing frequent application updates. With these trends, functions such as automated driving, Car-2-X, software updates over the air, or vehicles as part of Internet of Things (IoT), become possible, but raising completely new requirements to the electrical and electronic architecture. These new use cases or functions come with huge demands on the platform in terms of computation, storage, and analytics of large amounts of data. Moreover, with the need for the user to be able to communicate with the outside world, there is a need for the on-board platform to be able to communicate with off board functionalities in a seamless and transparent manner. The TrAF-Cloud project aims at providing an architectural basis to enable commercial vehicles to efficiently and effectively integrate cloud services, including future third-party services. Amongst others, this project will be performed in collaboration with Volvo Technology (VGTT).

Information about the division and department
The project runs in the Software Engineering Division, of the Department of Computer Science and Engineering, which is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 240 employees from over 30 countries. Our research has a wide span, from theoretical foundations to applied systems development. We provide high quality education at Bachelor's, Master's and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society.

Our aim is to actively increase our gender balance in both our department and division. We therefore strongly encourage female applicants for our positions. As an employee at Chalmers and the Department of Computer Science and Engineering, you are given the opportunity to contribute with your work and/or interest in our active work within the field of equality and diversity. We are working broadly with equality projects, for example the GENIE project on gender equality.

Major responsibilities
The research will be done in context of the TrAF-Cloud project and focus on devising methods and mechanisms for transparently integrating cloud services into next-generation truck architectures.

As part of this the research should investigate mechanisms for deciding when to use a cloud service, on-board functionality, or a combination thereof (hybrid provisioning). This includes a definition of metrics to be monitored as well as the design of decision algorithms. In addition, a high-level domain-specific language (DSL) should be developed to describe and steer the decision procedure. The DSL will allow engineers to identify metrics, target values, and how to monitor them, configure and tune decision procedures, and describe application-specific methods to gracefully reduce functionality in a resource-restricted environment (e.g., on-board versus in the cloud).

Salary for the position is as specified in Chalmers' general agreement for PhD student positions. The position is intended to start in August/September 2019. Your major responsibilities as PhD student is to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing in English. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
To qualify as a PhD student, you must have a solid background in Software Engineering, Computer Science and Engineering or in a related discipline, corresponding to a master's level degree of at least 240 higher education credits. Curiosity and a genuine interest in the subject matter as well as good communication and collaborative skills are essential. In addition, excellent analytical and communication skills, both oral and written, are needed.

The ideal candidate for the position has a strong background in software engineering, including knowledge about cloud computing and domain specific languages. Further experience with software modeling or machine learning is helpful.

You may apply even if you have not completed your degree but expect to do so before the position starts. The position requires sound verbal and written communication skills in English. Knowledge of Swedish is not a prerequisite for applying since English is our working language for research and we publish internationally. Chalmers offers Swedish courses.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20190265 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

For more information click "LINK TO ORIGINAL" below.