Postdoc position in Network Automation


This position is an opportunity to participate in creative and globally relevant research efforts in network automation.

By combining AI/ML and networking knowledge, you can take the initiative, design, and implement functionalities for enhancing the achievable levels of network performance in terms of, e.g., resource efficiency and scalability. The developed techniques for network automation may be validated on cutting-edge network management frameworks in collaboration with our international research partners. Ultimately, the research carried out in this area has the potential to improve the sustainability of the global communication network infrastructure.

Project description
Communication networks are becoming dynamic and heterogeneous.

Network parameters and configuration must constantly adapt to changing conditions to meet customer expectations, which is extremely complex.
Abandoning manual interventions to automate network design and operation tasks is crucial for operators to unlock the potential of 5G and B5G networks. Automation has the potential to reduce errors in network operations and service management and accelerates tasks. Machine learning and network orchestration are key enablers of autonomous networks.

To this end, the application of AI/ML methods to all three phases of the network automation lifecycle, i.e., Design, Deploy, and Operate, are crucial.

Information about the division and the department
The division of Communications, Antennas, and Optical Networks conducts cutting-edge research covering several aspects of communication infrastructures. The Optical Networks (ON) group research areas include but are not limited to network design and performance optimization, control and management, fibre access and mobile transport networks, network sustainability, reliability, security, and survivability, and converged fiber-wireless networks.

Major responsibilities
The main responsibilities are related to conducting cutting-edge research on the topic of network automation. During the activities, the researcher is expected to use the latest tools in machine learning, distributed software development, network and container orchestration, and network automation. Dissemination of scientific outcomes in top-tier journals, conferences, and symposia is expected. 

Qualifications
Mandatory educational qualifications, experiences, and skills:
-) Ph.D. degree in Electrical Engineering, Computer Science, Telecommunications or similar, awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers).
-) Strong programming skills
-) Proficiency in applying AI/ML methods in the context of network automation
-) Ability and motivation to carry-on high-quality research
-) Excellent communication skills in oral and written English
-) Strong track record demonstrated by publications in Q1 journals and top-tier international conferences

Valuable, but not mandatory:
-) Experience in building and executing experimental demonstrations and proofs of concepts
-) Hands-on experience in programming for networks (e.g., distributed systems, gRPC, microservices)
-) Prior experience with Kubernetes and cloud-native applications

Contract terms
This postdoc position is a full-time temporary employment for two years.

We offer

Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20220669 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, including a complete list of publications
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe in your view the main challenges in optical network automation and how you can contribute to solving them 

Other documents:
• Attested copies of completed education, grades, and other certificates.
• A list of maximum ten publications you would like to highlight, briefly explaining their significance and your contributions.

Use the button at the foot of the page to reach the application form.

Application deadline: 28 February, 2023

For questions, please contact:
Prof. Paolo Monti, CAOS
E-mail: mpaolo@chalmers.se, 

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!


 


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