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Orario II semestre a.a. 2018-2019

E' stato pubblicato l'orario del II semestre dell'a.a. 2018-2019 QUI

Fondo sostegno giovani per favorire la mobilità degli studenti - Anno 2019/2020

Con DR 527 del 14/02/2019, ai sensi del D.M. 1047 del 29/12/2017 è stato pubblicato l'avviso di selezione per la fruizione del contributo ministeriale per favorire la mobilità internazionale degli studenti universitari per lavori di ricerca tesi presso istituzioni estere con cui l'Ateneo ha in corso accordi internazionali.

L'avviso di selezione, la relativa modulistica per potervi partecipare e l'elenco degli accordi internazionali con Università ed Istituti di Ricerca esteri attualmente vigenti che prevedono la mobilità studentesca è disponibile sul sito internet di Ateneo alla pagina http://www.unina.it/studenti/borse-di-studio-dm-1047/2017 e nella sezione Primo Piano delle pagine http://www.unina.it/didattica e http://www.unina.it/studenti


Il predetto elenco degli accordi internazionali verrà aggiornato nel corso dell'anno 2019 man mano che gli stessi saranno perfezionati o rinnovati.

Si segnala che le proposte di mobilità dovranno pervenire all'Ufficio Relazioni Internazionali entro e non oltre le ore 12.00 del giorno 15 MARZO 2019.

Postdoc in deep learning for computer vision @ Brookes University Oxford

Possibilità per postdoc @ Brookes University Oxford. Per maggiori informazioni contattare il Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

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The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking three-four (3/4) postdoctoral researchers in deep learning for computer vision in surgical robotics, to be appointed as soon as possible, on a contract ending Dec 31 2020.

Salary:  £31,302, rising annually to £34,188  
The deadline for application is 28 February 2019.

The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) has established itself as one of the top research groups in the world in deep learning for action detection, conducting work at the current boundaries of human action recognition. Our algorithms hold the best detection accuracies to date, and the team recently designed the first system so far able to localise multiple actions on the image plane in (better than) real time (52fps) on a single GPU.

Our work has won several awards in recent years. The team classified 2nd in both the CVPR 2016 ActivityNet detection challenge (http://activity-net.org/challenges/2016/program.html#leaderboard) and the CVPR 2017 Charades challenge (http://vuchallenge.org/charades.html), in collaboration with Disney Research, and behind Deepmind’s team Kinetics. We just published two works in this area at ICCV 2017, and are currently planning a number of PAMI and IJCV journal papers. Some former PhD students in the Lab have moved on to postdoc positions at Oxford, Stanford and ETH Zurich.

You will join a vibrant and fast growing team projected to comprise 15-20 people in 2018-19. You will be working on a network of cutting edge 4-GPU and 8-GPU workstations. The group collaborates with various companies including Huawei, Cisco, Cortexica, AnyVision and Sportlate, and is in the process of spinning off a company in the area of action detection. We closely work with Oxford Brookes’ MOReS and the Cognitive Robotics research groups, Cambridge Neuroscience, as well as Oxford University’s Torr Vision Group and Computer Science Department, and have established links with IIT Bombay, Harvard, Seoul National, and numerous European partners.

For our current computer vision work, please take a look at: http://cms.brookes.ac.uk/staff/FabioCuzzolin/projects-vision.html

For our recent relevant publications on PAMI, IJCV, BMVC and ICCV please see: http://cms.brookes.ac.uk/staff/FabioCuzzolin/pubs.html

in particular our most recent papers: https://arxiv.org/abs/1704.04952 , https://arxiv.org/abs/1807.11332  and http://openaccess.thecvf.com/content_ICCV_2017/papers/Singh_Online_Real-Time_Multiple_ICCV_2017_paper.pdf

The postdocs and research associate will work as part of the Horizon 2020 SARAS project, Smart Autonomous Robotic Assistant Surgeon (http://saras-project.eu/), of which Prof Cuzzolin is overall Science Officer.

You are encouraged to contact Prof Cuzzolin at Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo. for more information and an informal feedback on your application.

To formally apply, please follow the instructions provided here:

https://www.jobs.ac.uk/job/BPT941/postdoctoral-researcher-in-deep-learning-for-activity-recognition

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