[robotics-worldwide] [JOBS] Postdoctoral Research Assistant in Statistical Machine Learning

Fabio Cuzzolin fabio.cuzzolin at brookes.ac.uk
Thu Oct 27 03:12:57 PDT 2016

Postdoctoral Research Assistant in Statistical Machine Learning*Oxford
Brookes University* - Dept Of Computing & Communication
Location: Oxford
Salary: £26,052 per annum, rising annually to £28,452
Hours: Full Time
Contract Type: Contract / Temporary
Placed on: 25th October 2016
Closes: 1st December 2016
Job Ref: 004942

Location: Wheatley Campus, Oxford
For more information: hr-hrteam-edi at brookes.ac.uk

This ia a fixed term position Initially for 1 year, renewable for a further
2 years subject to funding

The Department of Computing and Communication Technologies is seeking to
appoint a Postdoctoral Research Assistant in Statistical Machine Learning
in the Artificial Intelligence Laboratory, in order to kick-start a new
research project on novel robust foundations for machine learning.

Machine learning algorithms typically focus on fitting a model to the
available training data (overfitting), which may lead, for instance, an
autonomous driving system to perform well on validation tests but fail
catastrophically when tested in the real world (as it has unfortunately
been demonstrated of late). Common practice in the field contemplates
generalisation criteria which are based on a rather naïve correlation
between smoothness and generality.

With the deployment of machine learning algorithms in critical AI systems,
however, it is crucial to ensure that these algorithms behave predictably
in the wild. This raises issues with Vapnik's traditional Statistical
Learning Theory as a viable foundation for robust machine learning. The
remarkable empirical performance achieved so far by deep learning-based
approaches, on the other hand, is yet to be matched by a satisfactory
understanding of the theoretical basis for their robust behaviour.

The successful candidate will take the leadership of a new research
programme designed at laying the groundwork for a new, robust paradigm for
the foundations of machine learning. A number of research avenues can be
envisaged. Worst-case, cautious predictions may be generated by solving
appropriate mini-max optimisation problems. Robust analyses based on convex
sets of models (e.g. convex sets of linear boundaries) appear promising.
Finally, robust Bayesian analysis and random set theory may provide the
means for a generalisation of the concept of Probably Approximately Correct
in statistical learning theory.

Candidates should have a PhD or other Postgraduate qualification or be
studying for PhD in a relevant subject and have significant experience in
machine learning, statistics or both.
The successful candidate will join a vibrant and ambitious department that
is welcoming, supportive and friendly. The department blends excellence in
teaching and knowledge transfer with world-leading research in areas that
span Artificial Intelligence, Computer Vision, Cognitive Robotics,
Augmented Reality, Wireless Communications and Human Machine Interfaces.

You will be responsible for:

The leadership of a new research programme on robust statistical machine
The implementation and the day-to-day running of other research projects
within the Artificial Intelligence Laboratory
Assisting with the preparation of papers for publication and making
presentations at meetings and/or conferences
Assisting in the preparation of applications for external funding
Mentoring and supporting other researchers (e.g. PhD and MSc students or
visitors) in the Artificial Intelligence Laboratory

You should have:

A PhD or other Postgraduate qualification or be studying for PhD in a
relevant subject
A strong mathematical background
Significant experience in machine learning, statistics or both
Experience of working to strict deadlines in a high performing team
High level of analytical ability and computational skills, including
Strong written and oral communication skills
Ability to manage multiple projects

International applicants from outside the EU will need to demonstrate their
eligibility to work in the UK.

For informal enquiries, please contact Professor Fabio Cuzzolin

fabio.cuzzolin at brookes.ac.uk

To apply, click the Apply button you will find at the bottom of this page:


Professor Fabio Cuzzolin
Head of Artificial Intelligence and Vision
Department of Computing and Communication Technologies
Oxford Brookes University
Oxford, UK

+44 (0)1865 484526

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