2 years grant on Energy-aware concurrent programming models

Topic:  Energy-aware concurrent programming models

Deadline for application: May 5, 2014

Description: Most of the future computing systems’ performance will be limited by power. This is expected to hold from mobile devices to parallel high-performance computing. Energy is not exclusively a hardware issue but it largely depends on programming models and algorithms that will be required to be energy-aware. Two years position founded under Train2Move FP7- PEOPLE- COFUND Action.

More information: http://www.di.unito.it/train2move
Application package:  http://www.train2move.unito.it
Salary and eligibility: http://www.train2move.unito.it/data/T2M_Callforproposals.pdf

Train2Move programme

Train2Move (T2M) supports 24-month research grants for experienced researchers of any nationality who at the time of the call deadline:

– have up to 7 years of research experience since obtaining their PhD or
– have a maximum of 4-10 years research experience after obtaining their master’s degree.

In addition, applicants must not have worked and/or studied in Italy for more than 12 months in the 3 years prior to the call deadline.

The grants cover the following cost (per year)

– Living expenses (28,500 Euro gross, a reduced tax rate applies to the grant –  about 23%)
– Mobility and travel allowance (9,000 Euro)
– Research costs, covering the costs for carrying out the research projects, including consumables, participation in conferences and training, travel, publication, etc. (8,000 Euro)

T2M is a new international fellowship programme conceived by the University of Torino (UNITO) and implemented with the support of the European Commission and the banking foundation Compagnia di San Paolo.

T2M is a programme funded under FP7- PEOPLE- COFUND Action.  T2M aims at maximizing career opportunities for incoming experienced researchers through a transnational mobility experience, enriched by the development of individual research projects and by the offer of an extensive training on soft skills.

The specific objectives of the T2M are:

–  boosting fellows’ scientific expertise and complementary skills, that will match both public and private sector needs;
– offering fellows the opportunity to promote their research careers through adequate working conditions and collaboration with academic and private sectors;
– increasing the transfer of knowledge amongst fellows, hosting departments and local research environment.

T2M promotes fellows’ skills strengthening, in terms of both scientific and complementary competences, through the support of Scientific Supervisors and the issuing of Personal Career Development Plans.

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About Marco Aldinucci

Marco Aldinucci is an assistant professor at Computer Science Department of the University of Torino since 2008. Previously, he has been researcher at University of Pisa and Italian National Research Agency. He is the author of over a hundred papers in international journals and conference proceeding (Google scholar h-index 21). He has been participating in over 20 national and international research projects concerning parallel and autonomic computing. He is the recipient of the HPC Advisory Council University Award 2011 and the NVidia Research award 2013. He has been leading the “Low-Level Virtualization and Platform-Specific Deployment” workpackage within the EU-STREP FP7 ParaPhrase (Parallel Patterns for Adaptive Heterogeneous Multicore Systems) project, the GPGPU workpackage within the IMPACT project (Innovative Methods for Particle Colliders at the Terascale), and he is the contact person for University of Torino for the European Network of Excellence on High Performance and Embedded Architecture and Compilation. In the last year he delivered 5 invited talks in international workshops (March 2012 – March 2013). He co-designed, together with Massimo Torquati, the FastFlow programming framework and several other programming frameworks and libraries for parallel computing. His research is focused on parallel and distributed computing.