TUT coordinates three
Marie Curie Initial Training Networks
The networks focus on positioning technologies, financial risks and robotics.
"The primary objective of the Initial Training Networks (ITN) is to provide training opportunities for early-stage researchers. New knowledge is generated into the bargain," says Professor Jari Nurmi, who is heading one of the networks coordinated by Tampere University of Technology.
The budget of the three ITN projects totals some 12 million euros, of which TUT receives 3.2 million. The networks employ over 40 doctoral students or post docs all around Europe. Nine of them are directly employed by TUT.
TUT is the only Finnish university that coordinates three EU-funded Marie Curie Initial Training Networks. This is a considerable achievement, as the success rate of project proposals is low. Approximately 10 per cent of all applications are accepted.
Making research careers more attractive
The purpose of Marie Curie ITN projects is to increase the attractiveness of research careers among young people and promote international cooperation.
The doctoral students involved in the projects complete internships in foreign universities or companies to gain international exposure and build professional contacts.
Positioning technology, financial risks and robotics
Nurmi is leading the MULTI-POS project that explores future positioning
technologies and their applications. In addition to TUT, the network
involves 10 partners, such as Chalmers University of Technology, the
University of Nottingham and several companies.
Standing at the
interface of financial engineering and high-performance computing, the
HPCFinance project develops robust volatility and interest rate models
for pricing derivatives and managing financial risks. The network
consists of several European universities, international banks and
investment and technology companies. The project is overseen by
Professor Juho Kanniainen.
The PURESAFE project has set its sights
on developing autonomous service robots intended for complex and
hazardous environments, such as nuclear power plants and scientific
infrastructures. One of the key objectives is to slash the life-cycle
costs of a given work-site operation scenario by involving a fleet of
autonomous robots. PURESAFE is headed by Professor Jouni Mattila.