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stillingsbetegnelse:
PhD Project in Fog Computing-based Autonomous Systems

jobbeskrivelse:

DTU Compute’s Section for Embedded Systems Engineering, would like to invite applications for a 3-year PhD position starting February 1^st, 2019. The project is financed by a DTU PhD schollarship in collaboration with Norwegian University of Science and Technology (NTNU).

Our department DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour.

DTU Compute strives to achieve research excellence in its basic science disciplines, to achieve technological leadership in research and innovation, and to address societal challenges in collaboration with partners at DTU and other academic institutions, nationally and internationally, and, equally important, with industry and organizations. We communicate and collaborate with leading centres and strategic partners in order to increase participation in major consortia.

DTU Compute plays a central role in education at all levels of the engineering programmes at DTU - both in terms of our scientific disciplines and our didactic innovation. 

Project Description
Fog Computing (also known as Real-Time Edge Computing) is a logical extension from Cloud Computing towards the edge of the network (where “things”, such as infrastructure and autonomous systems, are located), enabling applications that demand guarantees in safety, security, and real-time behavior. Fog Computing is envisioned to be used in several application areas, such as Smart Cities, Smart Transportation, Smart Energy, automotive, robotics and industrial automation. Future autonomous systems will rely on Fog Computing to deliver the increasing computation and communication needs at high-level of dependability.

The objective of this research project is to develop a Fog Computing platform for the safe and secure deployment of autonomous systems applications, while guaranteeing the non-functional properties, such as real-time behavior, dependability and security. The research will be validated on autonomous system platforms from the automotive area (DTU’s focus) and the maritime area (NTNU’s focus).

Qualifications
Candidates must have a master’s degree (120 ECTS) in Computer Science and/or Engineering, or equivalent academic qualifications. Preference will be given to candidates who can document (i) knowledge of algorithms (especially optimization metaheuristics), (ii) experience with scientific paper writing, and in addition have a very high average grades in their master’s program.

Furthermore, good command of the English language is essential. Since this project is in collaboration with NTNU, the PhD student is expected to enrol in a double-degree program with NTNU, which has additional requirements related to NTNU, including spending a full year at NTNU and fulfilling their degree requirements.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in the DTU Compute PhD School Programme. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.    

Assessment
The assessment of the applicants will be made by Prof. Paul Pop.  

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years.

The main workplace will be DTU Lyngby Campus but you are also expected to spend time at Norwegian University of Science and Technology (NTNU).

You can read more about career paths at DTU here.  

Further Information
Further information concerning the project can be obtained from Prof. Paul Pop, email: paupo (at) dtu.dk, phone: +45 4525 3732. 

Further information concerning the application is available at the DTU Compute PhD homepage or by contacting PhD coordinator Lene Matthisson +45 4525 3377.

Application
Please submit your online application no later than 27 December 2018 (local time). To apply, please open the link "Apply online", fill out the online application form. The following must be attached in English: 

• Application (letter of motivation)
• CV
• Documentation of a relevant completed M.Sc. or M.Eng.-degree
• Course and grade list of bachelor and master degrees
• Excel sheet with translation of grades to the Danish grading system (see guidelines and excel spreadsheet here)

Candidates may apply prior to obtaining their master's degree, but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses in mathematics, statistics, and computer science to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees.

DTU is a technical university providing internationally leading research, education, innovation and scientific advice. Our staff of 6,000 advance science and technology to create innovative solutions that meet the demands of society, and our 11,200 students are being educated to address the technological challenges of the future. DTU is an independent academic university 

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jobCategoriesCodes_0: http://data.europa.eu/esco/isco/C2310

abstractJV_contact_0: Please apply using one of the specified channels

positionTypeCode: directhire

contractTypeCodes_0: fulltime

Arbejdsgiver Navn: Danmarks Tekniske Universitet

source: DK-STAR