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Job ID: 121379

Developer or Researcher – 5G-based UAV Traffic Management & Control
Aalto University School of Electrical Engineering

Date Posted Mar. 25, 2019
Title Developer or Researcher – 5G-based UAV Traffic Management & Control
University Aalto University School of Electrical Engineering
Helsinki, Finland
Department Department of Communications and Networking
Application Deadline Open until filled
Position Start Date Available immediately
  • Graduate Student
  • Computer Science

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with nearly 11 000 students and a staff of more than 4000, of which 400 are professors. Our campuses are located in Espoo and Helsinki, Finland.

The School of Electrical Engineering is one of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. The School is an international unit with close to 60 professors and 2 000 full-time students, including over 200 doctoral students.

Job Background
5G is touted as the generation of mobile networks that will support dedicated use-cases and provide specific types of services to satisfy simultaneously various customer demands. A recent study expects that the 5G mobile system should handle 100 times data traffic comparing to the circulated data traffic nowadays. Unlike the "one-fit-all" type of 4G architecture, 5G is anticipated to consider diverse business demands with often-conflicting requirements. One important use-case of the 5G system is Ultra-Reliable Low-Latency Communications (URLLC) that require ultra-low latency and very high reliability. One important application of URLLC is the beyond line of sight (BLOS) control of unmanned aerial vehicles (UAVs), whereby UAVs and their on-board Internet of Things (IoT) devices would be controlled remotely beyond line of sight by leveraging cellular networks and multi-access edge computing (MEC). URLLC use cases require high reliability, with a block error rate (i.e., BLER) lower than 10-9, and a low latency between 1-10 ms. 5G system should be also optimized to support the requirements of UAV services by taking into account the amount of traffic generated by the on-board IoT devices and the remote control of UAVs. Artificial intelligence (AI), such as deep neural networks and reinforcement learning techniques, would be widely used for processing the sensed data and making the decisions about the placement of different UAV controllers at the cloud and MECs. For this reason, AI, MEC and 5G will play a crucial role in enabling URLLC use-cases, particularly BLOS management of UAVs.

Job Requirements
We are looking for highly-motivated developers, young researchers and experienced postdoc researchers who are willing to conduct high-quality research works, developing efficient approaches and methods that leverage artificial intelligence, MEC and 5G technologies (e.g., network slicing, network function virtualization (NFV) and software-defined networking (SDN)) for providing efficient UAV management system. Depending on the job level, candidates should have either Master or Ph.D. degrees in a related field with a focus on artificial intelligence, cloud computing, and networking and communications. We expect that candidates should have good analytical skills including, but not limited to, optimization, artificial intelligence and queuing theories. We expect that the candidates have expertise in programming languages (Python, C/C++, Java), cloud environments (Kubernetes, OpenStack), open source tools (Apache libcloud, Open Source Mano, K8s and Jenkins), and different SDN technologies (e.g., opendaylight and ONOS). Candidates applying for postdoc positions should have a good publications record in very good journals and conferences.

Research Group
The MOSA!C Lab is led by Prof. Tarik Taleb. The lab belongs to the Communications and Networking Department, School of Electrical Engineering, Aalto University. It consists of a group of highly-enthusiastic researchers with strong hands-on programming skills and expertise in different areas relevant to mobile networking, cloud computing, Internet of Things, and UAV. The lab is involved in a number of research projects funded by different industries, Business Finland, The European Commission, and Academy of Finland. MOSA!C Lab conducts high-quality research with high industrial applicability and contributes to open source projects.

How to Apply
Please submit your application through our recruiting system. Please include the following documents in English:

  • Motivation letter
  • Research vision on the topic
  • Detailed CV including the list of publications, developed tools and softwares
  • At least 3 recommendation letters

The evaluation of the applications will start immediately and will continue until the positions are filled. Please note that incomplete applications will not be regarded.

The initial contract is for 12 months, extensible based on performance. We wish you would be able to start as early as possible.

About Finland
As a living and work environment, Finland consistently ranks high in quality-of-life. For more information about living in Finland, please visit our information pages for international staff:

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Professor Tarik Taleb
    Department of Communications and Networking
    Aalto University School of Electrical Engineering
    Maarintie 8, Espoo


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