Interdisciplinary Centre of Security and Trust (SnT): Postdoc position 1303 views

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications for Research Associates (Postdocs) in Machine Learning for Caching in 5G Wireless Content Delivery Networks. The successful candidates will join a strong and motivated research team lead by Prof. Björn Ottersten and Dr. Symeon Chatzinotas.

Duration: 2 years (Fixed Term Contract), full-time; 40 hrs/week

Number of positions: At least 1

Requirements:

• Applicant must hold PhD in Electrical/Electronics Engineering, Computer Science or Applied Mathematics or in the general area of wireless communications and networking
• Applicant must have fluent communication skills in English (written and verbal).

Tasks and responsibilities:

• Shaping research directions and producing results
• Attracting funding in cooperation with industrial partners
• Coordinating research projects and delivering outputs
• Providing guidance to PhD and MSc students
• Disseminating results through scientific publications
• Assisting in teaching duties
• Organizing relevant workshops

Desirables:

The ideal candidate should have both project-based experience (FP7/H2020, ESA, and Industry) and a publication record in a number of the following topics:

• Caching and Information Centric Networking
• Cross-layer Resource Management & Optimization
• Applications of Machine Learning in Communication Systems
• Software Defined Networking & Network Function Virtualization
• Machine to Machine and Internet of Things
• Non-parametric statistics
• Bayesian Reasoning for Classification, Clustering, Regression and Ranking
• Convex Optimization
• Stochastic, Robust or Chance-Constrained Optimization
• Dynamic Programming
• Development skills in MATLAB or C++ are required. Exposure to the latest standards in terrestrial and satellite communications as well as theory and methods of optimization are desirable. Hands-on experience is Software Defined Radio/Networking is also desirable.

Duration: 2 year employment contract; may be extended up to 5 years

Applications:

Application must be submitted online and include:

• Full CV with list of publications and name (and email address, etc) of 3 referees
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest to the candidate (300 words).

Ref: R-STR-5010-00-B