The Unmanned Aerial System (UAS) Center, at the Maersk Mc-Kinney Moller Institute at the SDU, is offering:
A PhD position starting from October 2018 or as soon as possible thereafter. The position is for three years.
The PhD will work on the TeamPlay project: Time, Energy and security Analysis for Multi/Many-core heterogeneous PLAtforms. The project was recently funded by the ICT-05 call: Customized and Low Energy Computing under Horizon 2020 Framework Program.
The goal of the TeamPlay project is to develop new, formally-motivated techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as first-class citizens. This will be built into a toolbox for developing highly parallel software for low-energy systems, as required by drones, the internet of things, cyber-physical systems etc. The TeamPlay approach will allow programs to reflect directly on their own time, energy consumption, security, etc., as well as enabling the developer to reason about both the functional and the nonfunctional properties of their software at the source code level.
In the context of this project, we provide the following topic for the position: “Low-power computer vision for drone systems”. The focus will be on applying the TeamPlay platform to analyze, optimize, and implement the main energy-consuming computer vision software components in the drone system. The optimized applications will serve as use cases for the project as a whole and will be implemented on experimental drone platforms. The research activities will be focusing on methods for optimizing the energy usage of computationally heavy onboard vision applications, including the adaptive use of different algorithms for onboard vision and communication with the ground station.
The successful candidates will be expected to have:
- Master’s degree in embedded systems, computer engineering, applied mathematics, robotics or related fields.
- Strong background in computer vision; experience with deep learning, system integration, static analysis, microprocessors, or GPUs is considered an advantage.
- Good programming and modeling skills (e.g., Python, C, C++, Matlab/Simulink, UML, SystemC).
Additionally, the candidate should have excellent writing skills and be able to work independently. The successful candidate for the position will be affiliated with the UAS center at the Maersk Mc-Kinney Moller Institute, the University of Southern Denmark.
The applicant should provide a cover letter explaining his/her approach to the problem, and at most three articles illustrating his/her publication record and research interests, in addition to standard items such as CV, full publication list, etc. (see below).
Further information is available from Assistant Professor Emad Samuel Malki Ebeid, email firstname.lastname@example.org.
Conditions of employment
Employment as a PhD fellow is a 3-year salaried position. The approval of the enrollment by the PhD school is a condition for the employment. The enrollment and employment will cease without further notice at the end of the 3-year period. Further information about salary and conditions of employment.
Employment is governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations.
An employed PhD fellow cannot have other paid work during the employment.
Requirements for the position
To be considered for the position it is required that the applicant meets the requirements for enrollment in the PhD school.
An assessment committee will assess all applications. Each applicant will receive his/her own assessment.
An interview might be part of the assessment process.
Your application must be uploaded through the link “Apply Online”. Attached files must be in Adobe PDF or Word format. Please read guidelines for applicants.
All pdf-files must be unlocked and allow binding and may not be password protected.
In case you have more than one file per field you need to combine the pdf-files into a single file, as each field handles only one file.
Each box can only contain a single file of max. 10 Mb.
The applications must include:
• Cover letter as mentioned above. Please attach it to “Application material” under “Other relevant material”
• Completed application form
• Curriculum Vitae
• Application stating reasons for applying. Please attach your motivated application to “Application material” under “Project description”
• Certified diplomas and transcripts of exams
• Calculation of grade point average in this form
• List of publications indicating the publications attached
• Examples of the most relevant publications. Please attach one pdf-file to each publication, a possible co-author statement must be a part of this pdf-file
If relevant, information on previous teaching experience can be submitted as a Teaching Portfolio
The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.
The application must be in English.
Further information for international applicants about entering and working in Denmark.
Deadline: 9 September 2018
Unit: Faculty of Engineering
Read the job description and apply online
Post expires on Sunday September 9th, 2018