PhD Project in Real-Time Multicore Systems
Tuesday 17 Jan 17
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Apply no later than 15 March 2017
Apply for the job at DTU Compute by completing the following form.
DTU compute would like to invite applications for a 3-year PhD position starting 1 April 2017. The project is financed by the PREDICT project (DFF - 6111-00363).
The PREDICT project targets computer based control systems such as robot control systems, factory automation systems, and fly-by-wire systems in airplanes. One common aspect of such systems is that at least some fraction of the functionality must be time-predictable to guarantee real-time requirements. Several international projects as well as T-CREST and RTEMP at DTU have developed novel time-predictable computers.
The aim of the proposed project is to combine the expertise of the Drone Research Laboratory at AAU with the expertise of DTU Compute. AAU has expertise in guidance, navigation of drones, obstacle detection, and avoidance systems. DTU has expertise on time-predictable multicore processors and programming of multicore processors. Within the project we will address the integration of flight control algorithms on drones.
The project will fund two PhD students, one at AAU and one at DTU. The research at DTU will focus on programming control systems on multicores. An important aspect of this is time-predictable communication between cores, models of communication, and hardware components to support these models of communication. The PhD student at DTU will be embedded in a research group on time-predictable computer architecture and real-time systems.
Candidates must have (or finish soon) a master degree in computer engineering (CE), electrical engineering (EE), or engineering, or equivalent academic qualifications. Preference will be given to candidates who can document excellent skills in programming of hardware and software, and have a background in real-time systems. Furthermore, good writing skills and good command of the English language is essential.
Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the ITMAN Graduate School Programme of DTU Compute. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.
The assessment of the applicants will be made by Martin Schoeberl and Jens Sparsø.
We offer an interesting and challenging job in an international environment focusing on education, research, scientific advice and innovation, which contribute to enhancing the economy and improving social welfare. We strive for academic excellence, collegial respect and freedom tempered by responsibility. The Technical University of Denmark (DTU) is a leading technical university in northern Europe and benchmarks with the best universities in the world.
Salary and appointment terms
The salary and appointment terms are consistent with the current rules for PhD degree students. The period of employment is 3 years.
Further information concerning the project can be obtained from Martin Schoeberl, firstname.lastname@example.org.
Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3359.
Applications must be submitted in English as one single PDF, and we must have your online application by 15 March 2017. Please open the link in the red bar in the top of the page: "apply online" (“ansøg online”). Applications must include:
- Application (letter of motivation)
- Documentation of a relevant completed M.Sc. or M.Eng.-degree or letter stating intended completion date
- Course and grade list of bachelor and master degrees
- Calculation of the weighted grade average, see guidelines here
Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute conducts research and provides teaching in the fields of mathematics, modeling and computer science. The expanding mass of information and the increasingly complex use of advanced technology in society demand development of advanced computer based mathematical models and calculations. The unique skills of the department are in high demand in IT innovation and production.
DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 5,800 advance science and technology to create innovative solutions that meet the demands of society; and our 10,600 students are being educated to address the technological challenges of the future. DTU is an independent academic university collaborating globally with business, industry, government, and public agencies.