Research Associate

Job description

We are advertising for a two-year Post-Doc position at King’s College London to work with Professor Osvaldo Simeone to work at the intersection of distributed Bayesian learning and communication networks. The post will be based in the King’s Communications, Learning & Information Processing lab, at the Centre for Telecommunications research within the Department of Engineering.  The department is located at the Strand campus of King's, located in the centre of London.

The successful candidate should have a PhD in Electrical Engineering and s/he should meet the following criteria

• Background in probabilistic machine learning
• Background in communication systems (preferred, but not required)
• Track record of high-quality research publications in peer reviewed conferences and journals.

For an informal discussion to find out more about the role please contact Professor Osvaldo Simeone via email at osvaldo.simeone@kcl.ac.uk.

This post will be offered on an indefinite contract  contract for 2 years

This is a full-time post - 100% full time equivalent

Key responsibilities

• Carry out research on decentralized Bayesian machine learning
• Write papers and technical reports
• Work with PhD students to fulfil the objectives of the project

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

Skills, knowledge, and experience

Essential criteria

• Background in signal processing
• Background in machine learning
• Track record of high-quality research publications in peer reviewed journals
• Track record of high-quality research publications in international conferences
• Knowledge of Python
• Research independence

Desirable criteria

• Background in communication systems
• Background in information theory

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