Developer or Researcher - Deterministic Networking for the Future Mobile Networks
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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.
To accommodate Ultra-Reliable Low-Latency Communications (URLLC), the concept of Deterministic Networking (DetNet) is gaining lots of momentum among the communities of researchers and industrials working on both wired and wireless networks. The main objective of DetNet is to provide a network with the following features: i) deterministic Quality-of-Service (QoS) (e.g., bounded latency and delay variation -jitter-, and zero congestion loss) for critical services such as tele-surgery, industry automation and autonomous vehicles; ii) coexistence of critical and best-effort services; iii) ultra-reliable packet delivery considering equipment failure; iv) high scalability to support large-size networks; and v) flexibility and dynamicity to configure the network and reserve/release resources on a per flow basis. To achieve such goal, DetNet relies on the Software-Defined Networking (SDN) paradigm and Time-Sensitive Network (TSN) standards. On the one hand, SDN enables the programmability of the network. On the other hand, TSN defines layer-2 forwarding planes. Future cellular networks are expected to largely benefit from DetNet. The research on the adoption of DetNet in mobile transport networks is in its infancy and a myriad of challenging open issues lie ahead.
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 DetNet, SDN, TSN, Operations Research, and AI to enable URLLC services in the future mobile networks. Depending on the job level, candidates should have either Master or Ph.D. degree 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 (e.g., network calculus). We expect that the candidates have expertise in programming languages (Python, C/C++, Java), cloud environments (Kubernetes, OpenStack), simulators (CARLA, ns-3), open source tools (Automotive Grade Linux, pache 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.
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 UAVs. 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 by using "Apply now!" link below. 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.
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