Job Details

Job Title

Developer or Researcher – 5G-based UAV Traffic Management & Control

Job Type

Initial contract is for 12 months, extensible based on performance.

Job Start Time

As early as possible.

Job Duration

Place of Work

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). For the candidates applying for postdoc positions, they should have a good publications record in very good journals and conferences.

Inquiry:

Application Form

Full Name

Email Address

Short Bio

Curriculum Vitae

Motivation letter

Research Vision on the Topic

(Mandatory for Postdoc researcher application, optional for master and doctoral student application)

Recommendation Letters

(Merge at least three recommendations in one pdf file, mandatory for Postdoc researcher application, optional for master and doctoral student application)
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