[UAI] [JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers

[Dimitri Ognibene]

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social
media threats for teenagers


# Apologize for cross posting  #

Dear colleagues,

University Milano-Bicocca  is offering 1 postdoctoral position on machine
learning and AI applied to understand and contrast social media threats for
teenagers.

The successful participant will be involved in the multidisciplinary
project COURAGE funded by Volkswagen Foundation.

The position is research  starting in September 2022

Please contact us for expression of interest and preliminary information:

dimitri.ognibene at unimib dot it (PI)


1 Researcher Position

Application Opens: Middle June (tbd)

Application Closes: late June (tbd)

Interview: 5th July  h14 (CET)

Starts: September 2022

Duration: 1.5 years (18 months)

 Salary: €2600 pm

Work permit: valid permit to work in Italy from September 2022 is a strong
asset


Topics: Social media, NLP, machine learning, cognitive models, opinion
dynamics, computer vision, reinforcement learning, graph neural network,
recommender systems, network analysis

Project: COURAGE https://www.upf.edu/web/courage

Informal description of the job:

Do social media harm teenagers and our society?

Can we make them safer?

Let's understand how to reshape social media algorithms together with this
competitive research positions in #machinelearnig, #artificialintelliegence
and #socialmedia modelling based in Università degli Studi di
Milano-Bicocca on the project COURAGE  #couragecompanion

#AIforSocialGood We will use the state of the art in graph neural networks,
reinforcement learning, nlp, cv, and machine learning in general to improve
our understanding of social media dynamics, and help our society by
supporting and teaching young people tackle hate speech and fake news in
social media.

Many opportunities for interdisciplinary and international research



-- 
Dimitri Ognibene, PhD
Associate Professor at Università Milano-Bicocca
Honorary Lecturer of Computer science and Artificial Intelligence at
University of Essex

http://sites.google.com/site/dimitriognibenehomepage/
*Skype:* dimitri.ognibene
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[UAI] Fwd: [EUCog News] CFP - ITSC2019 - Special Session on "Beyond Traditional Sensing for Intelligent Transportation" - DEADLINE EXTENDED!

[Dimitri Ognibene]

Apologies for cross posting
---

Dear all,

the deadline for the IEEE ITSC 2019 Special Session *Beyond Traditional Sensing 
for Intelligent Transportation* to take place in Auckland, New Zealand, has 
been extended to April 15th! 

We look forward to your contributions.

Best wishes,
Letizia


--

CALL FOR PAPERS:

ITSC 2019 - The 22nd IEEE International Conference on Intelligent 
Transportation Systems

October 27-30, 2019. Auckland, New Zealand.

---
Special Session on 
*Beyond Traditional Sensing for Intelligent Transportation*
---
https://bit.ly/2IoOn5n
--

Over the past few decades, sensors have not only become more advanced but also 
made impressive strides across an increasing number of sensing modalities.
Despite the improved capabilities and breadth of available sensor systems, 
those used for intelligent transportation have remained relatively uniform 
across platforms; as a result, the algorithms and techniques being designed do 
not take full advantage of the rich information modern sensors can provide.
Since all tasks -- including perception, localisation, decision-making, and 
learning -- are built on top of sensing, exploring alternative approaches to 
sensing is a compelling research area that can render all subsequent tasks more 
robust and accurate.

The objective of this special session is to explore unconventional sensing for 
intelligent transportation in three ways.
Firstly, it will investigate sensor systems that are not typically applied to 
certain transportation tasks, such as radar for precise localisation, audio for 
failure detection, and RF sensing for road traffic estimation.
Secondly, it will explore untraditional sensor configurations and placements, 
such as ground-facing cameras using shadows to detect occluded moving objects.
Lastly, it will look into the sensing of commonly overlooked information, such 
as the use of atmospheric sensors for gauging road surface traction or 
in-vehicle sensors for driving analysis.
Via these three themes, this special session aims to stimulate discussion and 
research into untraditional sensing in order to improve the reliability and 
accuracy of transportation systems.


Topics of interest include, but are not limited to:
* Localisation and navigation using radars (e.g., scanning, Doppler, and 
ground-penetrating);
* Ego-noise and soundscape modelling and interpretation (e.g., sound-based 
failure detection, terrain/road surface status classification, urban sound 
source detection and localisation);
* Event-based (neuromorphic) vision for localisation and perception in 
challenging scenarios;
* Multi-spectral imaging (e.g. IR or polarimetric cameras for localisation and 
perception under difficult visibility);
* In-vehicle sensing and wearable computing for failure detection, driver and 
passenger behaviour modelling;
* Far infrared sensing;
* Texture odometry;
* Novel sensor hardware and designs;
* Unconventional sensor placements or multi-sensor systems;
* Optimal sensor scheduling and control in complex and/or multi-agent / social 
environments;
* Astronomical (skyward-facing), atmospheric or odor-based sensing;
* IoT technology for intelligent transportation and Internet of Vehicles (IoV);
* Passive Wireless/RF sensing.


---
*Important Dates*
Paper Submission Deadline: April 15, 2019
Notification of Acceptance: June 30, 2019
Final Paper Submission Deadline: July 15, 2019
Conference Dates: October 27-30, 2019

Authors are kindly invited to notify the organisers of their submissions.

Papers submitted to this Special Session are reviewed according to the same 
rules as the submissions to the regular sessions of ITSC2019. Submissions to 
regular and special sessions follow identical format, instructions, deadlines 
and procedures.

Please find more info on the ITSC2019 website 
https://www.itsc2019.org


---
*Organizers*
Letizia Marchegiani, Aalborg University, Denmark. l...@es.aau.dk
Sarah Huiyi Cen, Massachusetts Institute of Technology (MIT), MA, USA. 
sh...@mit.edu
Dimitri Ognibene, University of Essex, UK. dimitri.ognib...@essex.ac.uk
Daniele De Martini, University of Oxford, UK. dani...@robots.ox.ac.uk
Xenofon Fafoutis, Technical University of Denmark (DTU), Denmark. x...@dtu.dk
Yan Wu, A*STAR Institute for Infocomm Research, Singapore. 
w...@i2r.a-star.edu.sg
Sahar Abbaspour, Volvo Car Corporation, Sweden. sahar.abbasp...@volvocars.com



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[UAI] Fwd: ICVSS 2019 - Last Call - Computer Vision: Where are we? - Sicily, 07-13 July 2019

[Dimitri Ognibene]

Apologies for cross-posting

Last Call for Participation (apologies for multiple copies)
APPLICATION DEADLINE: 31 March 2019
__

International Computer Vision Summer School
*Computer Vision - Where are we?*
Sicily - Italy, 07-13 July 2019
 
APPLICATION DEADLINE: 31 March 2019
http://iplab.dmi.unict.it/icvss2019/Application 


Web: www.dmi.unict.it/icvss 

Email: ic...@dmi.unict.it 
Facebook: https://www.facebook.com/groups/540991352579753/ 


MOTIVATION AND DESCRIPTION
The 13th edition of the International Computer Vision Summer School aims to 
provide both an objective and clear overview and an in-depth analysis of the 
state-of-the-art research in Computer Vision.

The last decade has seen a revolution in the theory and application of computer 
vision and machine learning. In this edition, we look at the emerging Computer 
Vision topics after Deep Learning revolution.

The courses will be delivered by world renowned experts in the field, from both 
academia and industry, and will cover both theoretical and practical aspects of 
real Computer Vision problems as well as examples of their successful 
commercialisation.

The school aims to provide a stimulating opportunity for young researchers and 
Ph.D. students. The selected participants will benefit from direct interaction 
and discussions with world leaders in Computer Vision. Participants will also 
have the possibility to present the results of their research, and to interact 
with their scientific peers, in a friendly and constructive environment.

LIST OF SPEAKERS
 - Alexei Efros, UC Berkeley, US
 - Irfan Essa, Georgia Tech, US
 - Andreas Geiger, University of Tübingen and MPI-IS Tübingen, DE
 - Kristen Grauman, University of Texas at Austin and Facebook AI Research, USA
 - Abhinav Gupta, Carnegie Mellon University, US
 - Phillip Isola, Massachusetts Institute of Technology, US
 - Alex Kendall, Wayve and University of Cambridge, UK
 - Ira Kemelmacher-Shlizerman, Allen School of Computer Science, UW, US
 - Jitendra Malik, University of California at Berkeley, US
 - Richard Newcombe, Facebook Reality Labs, US
 - Torsten Sattler, Chalmers University of Technology, SE
 - Davide Scaramuzza, ETH Zürich, CH
 - Bernt Schiele, Max Planck Institute, DE
 - Stefano Soatto, Amazon and University of California Los Angeles, USA
 - Federico Tombari, Technical University of Munich, DE

SCHOOL DIRECTORS
- Roberto Cipolla, University of Cambridge, United Kingdom
- Sebastiano Battiato, University of Catania, Italy
- Giovanni Maria Farinella, University of Catania, Italy

SPECIAL SESSION - Industry meets Student
In addition to the academic programme, we are organizing a special session to 
allow students to meet and learn about the opportunities and activities at the 
world leading research laboratories and companies which are exploiting computer 
vision.

READING GROUP (WITH PRIZE!)
http://iplab.dmi.unict.it/icvss2019/ReadingGroup 


Good ideas have deep roots. Understanding such roots is key to being able to 
generate new ideas moving forward. The main goal of the Reading Group is to 
practice ways in which exploration of these roots can be performed.

The homework prior to the commencement of the school consists in studying (not 
just reading) one or more topics provided by the school committee, and tracing 
the ideas as far back as you can. See the rules of engagement for all details.

Detailed instructions with the rules of engagements will be sent to students 
after acceptance notification.

ESSAY COMPETITION
http://iplab.dmi.unict.it/icvss2019/EssayCompetition 


The essay competition reflects the importance of considering the "real world" 
social impact of technology alongside the fundamental goals of basic R 
Computer Vision is an area of scientific and technological development that 
will continue to have a profound impact on society. It will redefine the way in 
which information technology intersects and interfaces with medicine and other 
disciplines, it will play a key role in the care of an ageing population and it 
is already a fundamental aspect of modern security technology. 
Participants in the competition may write a piece of original work on a topic. 
Detailed instructions with the rules of engagements will be soon online.

POSTER SESSION
http://iplab.dmi.unict.it/icvss2019/CallForPosters 


Accepted students may submit a poster to present their research activity. The 
poster should be sent before 31 May 2019, 23:59, GMT +2:00, 

[UAI] [jobs][phd]PhD Studentship: Being in the Other's Shoes - Social Cognition in Babies and Robots'

[Dimitri Ognibene]

We are looking for the perfect interdisciplinary PhD candidate to find out how 
humans learn to observe others, how they learn that they are not alone. Are you 
curious about this? Apply! 
https://www.jobs.ac.uk/job/BKG746/phd-studentship-being-in-the-others-shoes-social-cognition-in-babies-and-robots/

The Schools of Computer Science and Electronic Engineering and Psychology in 
the Faculty of Science and Health at the University of Essex has an 
interdisciplinary PhD studentship available focusing on the theme ‘Being in the 
other’s shoes – Social cognition in babies and robots’.
This studentship commences from 14 January 2019, the successful applicant will 
receive a scholarship for three years (subject to satisfactory progression).
The studentship includes:
a fee waiver equal to the Home/EU fee (for 2018/19, £ £4,410). International 
students will need to pay the balance of their fees.
a stipend of £14,777 in 2018-19 adjusted according to the directives of the 
Research Councils UK.
In a highly interdisciplinary environment, the PhD student will investigate the 
role of embodiment in social cognitive development by formulating computational 
theories, testing them through experimental studies with infants, and closing 
the loop by re-enacting the experiments with state of the art robots available 
in the Essex robotics lab.
The applicant will also have the opportunity to perform empirical studies and 
computational modelling on social intelligence to examine disorders of social 
cognition (lack of engagement, inability to adopt others perspective) and 
validate the architecture in end user environments (for example robotic 
companions in homes, hospitals etc.). The University’s centre for Brain Science 
accounts for one of the most comprehensive and equipped laboratories for 
Developmental Cognitive Neuroscience in the UK’s, which has been featured in 
media 
<http://www.bbc.co.uk/news/av/uk-england-suffolk-26574823/university-of-essex-recruit-very-young-volunteers-for-to-help-with-research>.
The successful applicant will be part of The Centre for Computational 
Intelligence, supervised by Dr Mohan and Dr Ognibene and also part of The 
Centre for Brain Science (Psychology), supervised by Dr Filippetti and Dr 
Rigato.
Address additional questions to: Dr Mohan, (CSEE) 
vishwanathan.mo...@essex.ac.uk <mailto:vishwanathan.mo...@essex.ac.uk> (PI), Dr 
Ognibene (CSEE) dimitri.ognib...@essex.ac.uk 
<mailto:dimitri.ognib...@essex.ac.uk>, Dr Filippetti (PSYCH) 
m.filippe...@essex.ac.uk <mailto:m.filippe...@essex.ac.uk>, Dr Rigato (PSYCH) 
srig...@essex.ac.uk <mailto:srig...@essex.ac.uk>.
-- 
Dimitri Ognibene, PhD
Department of Computer Science and Electronic Engineering, University of Essex, 
UK

http://sites.google.com/site/dimitriognibenehomepage/ 
<http://sites.google.com/site/dimitriognibenehomepage/>
Skype: dimitri.ognibene
-- 
Dimitri Ognibene, PhD
Department of Computer Science and Electronic Engineering, University of Essex, 
UK

http://sites.google.com/site/dimitriognibenehomepage/
Skype: dimitri.ognibene


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