CALL 10-2017-1 - Research position in the Communication Networks Division – Mobile Networks Department
The Communication Networks Division of the CTTC is looking for candidates interested in a research position in its Mobile Networks Department.
- PhD in telecommunications, computer science, electrical engineering, or related field.
- A good publication record is fundamental.
- Strong analytical and technical skills with focus on quality.
- Good programming skills.
- Capacity of carrying out innovative research as well as proven experience in research. Practical experience and work experience in international and national R&D projects carried out in the context of R&D departments or institutions is highly appreciated.
- Ability to work autonomously with complex research issues (project management experience is a plus) and create IPR.
- Good analysis, problem solving, organizational and multi-tasking skills.
- Fluent English, both written and spoken.
- Strong communication and presentation skills.
- Ability to adapt to and work in international teams.
- Interest in business aspects.
- We are requesting candidates to have experience on two or more of the following topics:
- Experience on software development for experimental research.
- Experimental wireless networking research (incl. protocol and networking stack development).
- Wireless network modeling, design, architecture, planning and/or traffic engineering.
- Software-defined networks and network virtualization.
- Network functions virtualization.
- Multi-Access Edge Computing.
- Cloud computing.
- Network and service orchestration.
- Mobile network architecture.
- Self-organized networking (incl. machine learning applied to mobile networks).
- Big Data.
- Energy efficient networks.
Generic description of the position
Functions and activities: participation in research projects with both competitive and industrial funds, elaboration of project proposals, publication in relevant conferences and journals in the research field, supervision of master/PhD students and collaboration with partner universities, contribution to technology transfer activities.
Duration: The position may become permanent after two years depending on the research and project outcomes of the selected candidate. The salary will be determined according to qualifications, work experience and budget availability.
How to apply
Researchers interested in joining the Mobile Networks Department should send their curriculum vitae, including list of publications, and the names and addresses of at least two referees. These documents should be sent in PDF format through this online application. CVs and any other information gathered during this process will be handled confidentially.
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), in Castelldefels – Barcelona, is a growing and well-funded research institution fostering excellence and diversity. CTTC offers a highly international environment at an exceptionally attractive location. As a research center in telecommunications technologies CTTC provides a fertile environment for research cooperation and innovation between different disciplines.
CTTC seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply.
CTTC is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals.
About the Mobile Networks department of the Communication Networks Division – http://networks.cttc.es/mobile-networks/
The Mobile Networks Department has three main research lines revolving around the optimization of IT+network resources of mobile/wireless transport and access networks and their potential exploitation by verticals (e.g., smart grids, smart cities). The Elastic Mobile Networks line focuses on software-defined networking and network functions virtualization in mobile networks towards efficient network resource consumption. The Big Data and Self-Organization for Mobile Networks line focuses on network-wide optimization and automated decision-making in complex networking environments based on learning from past measurements. Finally, the Sustainable Mobile Networks line focuses on designing energy-efficient mobile networks, potentially including harvested energy towards nearly-zero energy networks.