PhD studentships in Machine Learning at the Italian Institute of Technology
The duration of the PhD will be three years. Students will be based at the Italian Institute of Technology in Genoa (https://www.iit.it/), but collaborations and extended visits (up to one year) in the Department of Computer Science (http://www.cs.ucl.ac.uk/home/) at University College London (UCL) will be encouraged.
Students will officially be registered with UCL and be awarded a UCL degree. Studentships will cover UCL tuition fees (EU rates) and a stipend of approximately 22.000 euros per year. A supplement of 600 euros per month will be included during the time spent a UCL.
Students will be co-supervised by Massimiliano Pontil at IIT and a full time academic at CS-UCL (e.g., David Barber, Mark Herbster, John Shawe-Taylor).
Topics of primary interest include but are not restricted to: deep learning and representation learning; kernel methods; multitask and transfer learning; numerical optimization; online learning;
reinforcement learning; sparsity regularization; statistical learning theory.
Candidates must hold a master degree in either computer science, mathematics, statistics, or physics.
Outstanding applications in other areas will also be considered. Candidates are expected to have already familiarity with machine learning methods and have either strong programming or mathematical skills.
For inquiry on these positions please send your CV to Massimiliano Pontil (m.pontil@cs.ucl.ac.uk) in the first instance, writing "PhD IIT-UCL" in the subject.
Students will be co-supervised by Massimiliano Pontil at IIT and a full time academic at CS-UCL (e.g., David Barber, Mark Herbster, John Shawe-Taylor).
Topics of primary interest include but are not restricted to: deep learning and representation learning; kernel methods; multitask and transfer learning; numerical optimization; online learning;
reinforcement learning; sparsity regularization; statistical learning theory.
Candidates must hold a master degree in either computer science, mathematics, statistics, or physics.
Outstanding applications in other areas will also be considered. Candidates are expected to have already familiarity with machine learning methods and have either strong programming or mathematical skills.
For inquiry on these positions please send your CV to Massimiliano Pontil (m.pontil@cs.ucl.ac.uk) in the first instance, writing "PhD IIT-UCL" in the subject.
To receive full consideration applicants must also formally apply to the department of Computer Science at UCL, preferably by May 2:
http://www.cs.ucl.ac.uk/degrees/phd_programme/applying/#c7002