Car* Collegh*,

vi invio due bandi con preghiera di diffusione a persone interessate.

Cordiali saluti,

Enrico Scalas

*** Research Fellow in Ethical Machine Learning at University of Sussex, UK ***

A research position funded by the EPSRC is available in the group of Dr Novi Quadrianto on a project titled “EthicalML: Injecting Ethical and Legal Constraints into Machine Learning Models”. The long-term goal of the project is to develop a probabilistic machine learning framework with plug-and-play constraints that is able to handle fairness, transparency, and confidentiality constraints, their combinations, and also new constraints that might be stipulated in the future.

The successful candidate will participate in the research activities in the Predictive Analytics Lab (PAL) co-directed by Dr Quadrianto at Sussex. The successful candidate will engage in a number of exciting ongoing national and international research collaborations of PAL (e.g. with the Leverhulme Centre for the Future of Intelligence, universities in Cambridge, Sydney, Moscow, and Darmstadt) in the topics of privileged learning, Bayesian methods, and deep learning. In addition to undertaking high quality research and publishing in top machine learning conferences/journals including NIPS, ICML, JMLR, and TPAMI, the PAL group also creates significant impact by providing support, technology, and highly-trained specialists to a new generation of technology companies. It is expected that the successful candidate will take a leadership role in supporting the group activities including the supervision of Ph.D and MSc students.

The successful candidate will normally be of doctoral level or equivalent qualification. Research experience in machine learning is essential. Experience with Bayesian methods and non-convex optimization is a distinct advantage.

For full details and how to apply see:

http://www.sussex.ac.uk/about/jobs/research-fellow-ethical-machine-learning-2313. Applications must be received by midnight of 10th September 2017.

Informal enquiries are welcome and can be made to Novi Quadrianto (http://www.sussex.ac.uk/profiles/335583).

*** PhD Studentship in Ethical Machine Learning ***

Location: Falmer, Brighton "London-by-Sea", UK

Funding amount: £14,553 tax free stipend plus UK/EU tuition fees waiver

Start Date: 1st October 2017

A PhD position is available in the Predictive Analytics Lab (PAL) in the Department of Informatics at the University of Sussex. The PhD position is linked with an EPSRC funded project titled "EthicalML: Injecting Ethical and Legal Constraints into Machine Learning Models". The long-term goal of the project is to develop a probabilistic machine learning framework with plug-and-play constraints that is able to handle fairness, transparency, and confidentiality constraints, their combinations, and also new constraints that might be stipulated in the future.

The successful candidate will engage in a number of exciting ongoing national and international research collaborations of PAL (e.g. with the Leverhulme Centre for the Future of Intelligence, universities in Cambridge, Sydney, Moscow, and Darmstadt) in the topics of privileged learning, Bayesian methods, and deep learning. In addition to undertaking high quality research and publishing in top machine learning conferences/journals including NIPS, ICML, JMLR, and TPAMI, the PAL group also creates significant impact by providing support, technology, and highly-trained specialists to a new generation of technology companies.

University of Sussex is a research intensive university, in the sunniest part of UK, 50min by train to Central London, and 30min by cycle to the Brighton Beach (which has a 300m long zip wire).

Requirements

· Good Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics or related disciplines (essential)

· Good programming skills in at least one of Python/R/Matlab/C++ (essential)

· Ability to work independently and be self-motivated (essential)

· Experience in machine learning (desirable)

Timetable

The studentship will be allocated as soon as a suitable candidate is found. Review of applications will commence on 10th September 2017 and will continue until the position is filled. Early application is advised.

Procedure

Applications must be submitted via the University of Sussex Postgraduate Admissions System at https://www.sussex.ac.uk/pgapplication/. Please select Informatics PhD as your programme of study and indicate Dr. Novi Quadrianto as your preferred supervisor.

For more information

Informal enquiries are welcome and can be made to Novi Quadrianto (http://www.sussex.ac.uk/profiles/335583).