Vacancy: Postdoc/researcher position in parallel computing for machine learning

The University of Turin and the Parallel Programming research group

The University of Turin (UNITO) is one of the oldest, largest, and most prestigious Italian Universities. UNITO has about 70 000 students, 4000 academic and technical staff, 1800 post-graduate and post-doctoral students. It is organised in 27 Departments.  It is deeply involved in scientific research and manages roughly 500 projects per year, both at the national and international level. The long record of participation of UNITO in the EU strategic research agenda results from 115 FP7 funded research projects, among which 33 UNITO-coordinated projects and 7 ERC grants (5 ERC as host institution), along with 68 H2020 funded projects. The CS department was founded in 1971 and nowadays has over 75 tenured academics and researchers, and over 50 postdoctoral research associates and PhD candidates, whose scientific activities cover all the main research areas in Computer Science.

Vacancy

The appointment will be in be in the “Parallel Programming” research group (http://alpha.di.unito.it) of the Computer Sciences Department. The group has research interests in parallel programming models and run-time systems. The key staff of the research group was involved in several EU projects, including EU FP7-STREP Paraphrase (2011-2014) and REPARA (2013-2016), EU H2020-RIA Rephrase (2015-2018), Toreador (2016-2019); the Optibike Fortissimo2 EU I4MS experiment (2017-2018), the beHAPI EU RISE (2017-2021), as well as EU networks of excellence HIPEAC (High Performance Embedded Architecture and Compilation),  EU Cost IC1305  Network for Sustainable Ultrascale Computing (Nesus, 2014-2018), EU Cost IC1406 High-Performance Modelling and Simulation for Big Data Applications (Chipset, 2015-2019). 

The successful applicant will work with two newly funded projects:  

  • HPC4AI: High-Performance Computing for Artificial Intelligence (2018-2020, EU FESR 2014-20, 4.5M€, 2 partners)
  • DeepHealth: Deep-Learning and HPC to Boost Biomedical Applications for Health (2019-2022, EU 2018-ICT-11, 12.8M€, 21 partners)

Topics:

  • Programming languages and frameworks for the distributed training of neural networks
  • Development of run-time systems for parallel computing (shared-memory, message-passing, SIMT, etc.)
  • Cloud engineering, Deployment-as-a-Service for distributed training and federated training

Requirements:

Applicant should have a PhD level qualification in parallel computing. Strong C/C++ coding skills and parallel programming experience are essential. Experience in Machine Learning and Machine Vision is welcome, even if the research profile is not centred on these research areas. Applicant should be capable of working under his/her own initiative and leading a small research team, so excellent communication and organisational skills are also required. Scientific paper publishing, participation in international project meetings, and presentation to conferences are an integral part of the work.

Conditions and salary:

We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible hours, fulls support for conference participation. Residence in piedmont is required (housing in Turin is generally not very expensive).

Salary 30k€-40k€ per annum (around 1800€-2300€/month after taxes can be expected).

Application

Your application should include a letter of motivation (at most 1 page), covering your research interests and how they will support this project, a description of your PhD thesis (or relevant work experience), and evidence of independent self-motivated research and software development. Please highlight experience in collaborative projects and especially open source software development. Please include your CV, degrees and grades and any other relevant documents, and the earliest possible starting date. Please also include at least two contacts for further references.

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Enquiries about vacancy:

Name: Prof. Marco Aldinucci

Email: marco.aldinucci@di.unito.it

The city of Turin

Turin (Italian: Torino) is an important business and cultural centre in northern Italy, capital of the Piedmont region, located mainly on the left bank of the Po River, surrounded by the western Alpine arch. The population of the urban area is estimated to be 1.7 million inhabitants. The city has a rich culture and history and is known for its numerous art galleries, restaurants, churches, palaces, opera houses, piazzas, parks, gardens, theatres, libraries, museums and other venues. Turin is well known for its baroque, rococo, neo-classical, and Art Nouveau architecture. Much of the city’s public squares, castles, gardens and elegant palazzi such as Palazzo Madama, were built in the 16th and 18th century, after the capital of the Duchy of Savoy (later Kingdom of Sardinia) was moved to Turin from Chambery (nowadays France), as part of the urban expansion.

Turin is sometimes called the “cradle of Italian liberty”, for having been the birthplace and home of notable politicians and people who contributed to the Renaissance, such as Cavour, a leading figure in the movement toward Italian unification, and many of the protagonists of Italian political and social life in the 20th century, among the others, Antonio Gramsci, Piero Gobetti, and Palmiro Togliatti. The city used to be a major European political centre, being Italy’s first capital in 1861 and being home to the House of Savoy, the Italian royal family. The city currently hosts some of the best Italian universities, colleges, academies, lycea and gymnasia, such as the six-century-old University of Turin and the Turin Polytechnic. Prestigious and important museums, such as the Egyptian Museum and the Mole Antonelliana are also found in the city. Turin’s several monuments and sights make it one of the world’s top 250 tourist destinations. Turin is also well known as the home of the Shroud of Turin, the football teams Juventus F.C. and Turin F.C., the headquarters of automobile manufacturers FIAT, Lancia and Alfa Romeo, and as host of the 2006 Winter Olympics. Several International Space Station modules, such as Harmony, Tranquility, and Columbus, were also manufactured at the Thales Alenia Space factory in Turin.

Turin is the only Italian city enlisted in the New York Times “52 Places to Go in 2016” guide: http:// www.nytimes.com/interactive/2016/01/07/travel/places-to-visit.html 

Piedmont is the first ranked “Best in travel 2019” venue of the Lonely Planet guide. https://www.lonelyplanet.com/italy/liguria-piedmont-and-valle-daosta/piedmont

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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.