[UAI] CfP, 6th International Synthetic & Systems Biology Summer School - SSBSS 2019, Scuola Normale Superiore di Pisa, Tuscany, Italy July 22-26

[Ludovico Montalcini]

6th International Synthetic & Systems Biology Summer School - SSBSS 2019
July 22-26, 2019 - Certosa di Pontignano - Siena - Tuscany - Italy

https://ssbss2019.icas.xyz
ss...@icas.xyz


* Our sincere apologies if you receive multiple copies of this announcement
*

* Please help us distributing in your circles (emails, blogs, and social
networks) the call for participation and call for oral talks/posters  for
SSBSS 2019.  Together we will make SSBSS 2019 a great event! *

The Synthetic and Systems Biology Summer School (SSBSS) is a full-immersion
five-day residential summer school at the Robinson College - University of
Cambridge - UK on cutting-edge advances in systems and synthetic biology
with lectures delivered by world-renowned experts. The school provides a
stimulating environment for students (from Master students to PhD
students), Post-Docs, early career researches, academics and industry
leaders. Participants will also have the chance to present their results
(with Oral Talks and Posters), and to interact with their peers, in a
friendly and constructive environment.


DEADLINES:
Application: March 31, 2019
Oral Presentation/Poster Submission: March 31, 2019
Notification of Decision for Oral/Poster Presentation: April 28, 2019

https://ssbss2019.icas.xyz/registration/

SPEAKERS & TOPICS:
* ADAM ARKIN, University of California, Berkeley, USA
  Topics: Systems & Synthetic Biology & Microbiology/Virology

* ANDREA CALIFANO, Columbia University, USA
  Topics: Systems Biology, Cell Regulatory Networks, Cancer tumorigenesis &
Drug Resistance

* JASON CHIN, MRC Laboratory of Molecular Biology, Cambridge, UK
  Topics: Genetic Code Reprogramming

* VIRGINIA CORNISH, Columbia University, USA
  Topics: Synthetic Biology, Chemical Complementation & Ribosome Chemistry

* JOHN GLASS, J. Craig Venter Institute, USA
  Topics: Minimal Cell, Building and engineering of genomes and chromosomes

* KAREN POLIZZI, Imperial College London, UK
  Topics: Synthetic Biology & In Vivo Biosensors

* WILLIAM SHIH, Harvard Medical School, USA
  Topics: Design principles for self-assembling molecular machines

* JOERG STELLING, ETH Zurich, Switzerland
  Topics: Computational Systems Biology

* SARAH TEICHMANN, Wellcome Trust Sanger Institute & EMBL-EBI, UK
  Topics: Human Cell Atlas

* DANIELLE TULLMAN-ERCEK, Northwestern University, USA
  Topics: Protein Engineering & Synthetic Biology

SPEAKERS:
* Rodrigo Ledesma-Amaro, Imperial College London, UK

More Speakers TBA

CALL FOR POSTER & ORAL PRESENTATIONS:
During the Registration Process we accept abstract submissions for posters
and oral presentations to be presented during the poster sessions and the
talk sessions.
https://ssbss2019.icas.xyz/registration/
Early registration deadline: March 31, 2019


See you in Tuscany in July!
  The SSBSS 2019 Organizing Committee.


ss...@icas.xyz
https://ssbss2019.icas.xyz

https://www.facebook.com/ssbss.school/

SSBSS - Synthetic & Systems Biology Summer School Group:
https://www.facebook.com/groups/238417586492061/

Computational Synthetic Biology Group:
https://www.facebook.com/groups/1014624245288596/

* Apologies for multiple copies. Please forward to anybody who might be
interested *
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[UAI] 2nd Call-for-Papers: SI on Looking At People: Analyzing Human Behavior from Social Media Data @ International Journal of Computer Vision

[Bogdan Ionescu]

[Apologies for multiple postings]

Special Issue on "Looking At People: Analyzing Human Behavior from
Social Media Data"
International Journal of Computer Vision
https://www.springer.com/computer?SGWID=0-146-6-1390546-0


*** CALL FOR PAPERS ***
Although great advances have been obtained in the "Looking at People"
field, it is only recently that attention has focused on problems
connected to more complex and subconscious behavior. For instance,
personality and social behavior are only starting to be explored from
the computer vision and multimedia information processing
perspectives. This is often due to a lack of data and benchmarks to
evaluate these type of tasks.

Nevertheless, the availability of massive amounts of multimodal
information together with the dominance of social networks as a
fundamental channel where users interact, have attracted the interest
of the community in this direction of research. Tools for effectively
analyzing these sort of behaviors have a major impact into everyone's
life, with applications in health (e.g., support for mental
disorders), security (e.g., forensics, preventive applications), human
computer/machine/robot interaction (e.g., affective/interactive
interfaces) and even entertainment (e.g., user-tailored systems).

This special issue focuses in all aspects of computer vision and
pattern recognition devoted to the automatic analysis of human
behavior in social media from visual and multimodal information. The
focus is on the analysis of human behavior that is not visually
obvious, i.e., unconscious behavior and situations in which the sole
visual analysis is insufficient to provide a satisfactory solution.
Submissions in other aspects of looking at people may be considered as
well.

Prospective articles should make fundamental or practical
contributions to the field. Topics of interest include (but are not
limited to):
- Human behavior analysis from visual and multimodal information, with
emphasis on unconscious behaviors, including, but not limited to:
personality analysis, deception detection, social behavior analysis
- All aspects of human behavior analysis in the context of social
networks using multimodal information, including, but not limited to:
gesture/action, emotion recognition, personality analysis and
human-computer interaction
- Personality analysis and deception detection from multimodal
information, including textual, visual, and audible information
- Information retrieval, categorization and clustering of social
networks data, including images, text, and videos for the analysis of
human behavior
- Analysis of human intention from social networks data involving
multimodal information
- New tasks, data sets and benchmarks on human behavior analysis from
multimodal information
- Multimodal machine learning, deep learning, active learning, and
transfer learning for human behavior analysis in social media
- Multimodal zero-shot learning, and unsupervised learning for the
analysis of unconscious human behaviors
- Crowdsourcing, community contributions, and social multimedia
- Information fusion for the analysis of human behavior in the context
of social networks
- Large-scale and web-scale multimodal analysis of social media
- Explainability and fairness in multimodal AI systems for human
behavior analysis
- Applications of unconscious behavior analysis methods, e.g.,
medicine, sports, commerce, lifelogs, travel, security, environment.


*** Submission guidelines ***
All the papers should be full journal length submissions and follow
the guidelines set out by International Journal of Computer Vision:
https://link.springer.com/journal/11263

Manuscripts should be submitted online at:
https://www.editorialmanager.com/visi/
choosing "S.I. : Analyzing Human Behavior from Social Media Data" as
article type.

When uploading your paper, please ensure that your manuscript is
marked as being for this special issue. Information about the
manuscript (title, full list of authors, corresponding author's
contact, abstract, and keywords) should be also sent to the
corresponding editors (see information below).

Submitted papers should present original, unpublished work, relevant
to at least one of the topics of the special issue. All submitted
papers will be evaluated on the basis of relevance, significance of
contribution, technical quality, scholarship, and quality of
presentation, by at least three independent reviewers. It is the
policy of the journal that no submission, or substantially overlapping
submission, be published or be under review at another journal or
conference at any time during the review process.


*** Important dates ***
Manuscripts Due: 15 March 2019
Publication: 1st quarter of 2020


*** Guest editors ***
Hugo Jair Escalante (hugo.j...@gmail.com), INAOE, Mexico & ChaLearn, USA
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Esaú Villatoro, UAM-C, Mexico
Gabriela Ramírez, UAM-C, Mexico
Sergio Escalera, Computer Vision Center (UAB) & Un

[UAI] Australian Robotic Vision Summer School (RVSS), Kioloa, NSW, Australia, 3-8 February 2019

[RVSS]

~~

Australian Robotic Vision Summer School (RVSS), Kioloa, NSW, Australia, 3-8 
February 2019

Australian Centre for Robotic Vision

http://roboticvision.org/

**Last chance to register - Registration deadline this Friday, 12 January 2019**


We are pleased to announce the fifth annual Robotic Vision Summer School (RVSS) 
will be held at Kioloa on the NSW south coast from Sunday, 3 February 2019 to 
Friday, 8 February 2019. The Summer School provides a premium venue for 
graduate students to learn about fundamental and advanced topics in computer 
vision and robotics. RVSS also provides a unique opportunity to experiment with 
computer vision algorithms on actual robotic hardware. The program incorporates 
both talks and practical sessions run by world leading researchers in robotics 
and computer vision. In addition there will be ample free time during the 
summer school for attendees to collaborate on research projects or explore the 
Kioloa surroundings. Further information on speakers and the program is 
available at the summer school website.



Promotional Video: 
link

Registration site:  
link

Registration Fee: $890 (Registration covers all meals and accommodation at 
Kioloa)



Important Dates:

Registrations deadline: 12 January 2018 - Deadline extended

Summer School: 3 - 8 February 2019


For more information regarding RVSS, please see 
http://roboticvision.org/events/rvss-summer-school/
 or contact Carol Taylor, rvss.c...@anu.edu.au

~~


Carol Taylor | RVSS Administrator | Australian Centre for Robotic Vision
Research School of Engineering | ANU College of Engineering & Computer Science
Brian Anderson Building 115, North Road | The Australian National University | 
Canberra ACT 2600
T: +61 2 6125 0357
E: carol.tay...@anu.edu.au
  www.anu.edu.au
  www.roboticvision.org
Hours: Mon, Tue & Thu: 9am - 4pm
Wed: 9am - 12pm

[cid:image002.png@01D2085D.C48A89C0]   [RVSS 2019 banner]




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[UAI] Full Professorship 'Data Science Foundations' at TUHH, Hamburg, Germany

[Alexander Schlaefer]

Hamburg University of Technology (TUHH) seeks applicants for a full 
professorship in 'Data Science Foundations'. We are looking for a distinguished 
researcher to establish and lead the new Institute of Data Science Foundations 
and to represent Data Science in research and teaching at TUHH. Applicants are 
expected to have an excellent track record in basic research as well as a 
strong interest in interdisciplinary collaborations with engineering work 
groups at TUHH. We particularly welcome applications from scientists with a 
research focus on


- Methods of machine learning and particularly statistical learning
- Theory of data efficient machine learning methods
- Estimators and algorithms for multi-dimensional distributions in
  engineering
- Methods of time series analysis and their application to processes in
  engineering
- Resource-efficient machine learning for embedded and cyber-physical
  systems
- Development of mathematical methods and algorithmic implementations

The successful candidate is expected to offer courses both at the undergraduate 
and the graduate level in computer science and related programs of study, and 
to actively participate in the development of curricula offered by TUHH. The 
ability to teach undergraduate courses in German is a plus.


Please, find the official job offer at 
https://intranet.tuhh.de/aktuell/stellen/pdf/p_18_08_data_science_foundations_pdf.pdf 
and feel free to contact the Head of Administration, Klaus-Joachim Scheunert 
(phone: +49 40 428 78 3202) for further information regarding the application 
process.





--
Alexander Schlaefer
Institute of Medical Technology
Hamburg University of Technology
+49 (0) 40 42878 3050
www.tuhh.de/mtec

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[UAI] [journals] CFP: Special Issue on "Advances in Intelligent Robots and Systems 2018"

[Linda Wang]

Dear Colleagues,

Robotics is currently running a Special Issue entitled "Advances in
Intelligent Robots and Systems 2018". Prof. Dr. Concepción A. Monje
and Prof. Dr. Santiago Martínez de la Casa, from Robotics Lab Group,
University Carlos III of Madrid, Avenida, are serving as Guest Editor
for this issue.

We are pleased to invite you to submit your papers to this Special Issue
of Robotics, "Advances in Intelligent Robots and Systems 2018".

The IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS 2018) aims to establish an international forum of reference for
the latest advances in the field of robotics. This year's theme focuses
on advanced technological innovations (human–robot interactions,
humanoids, social robots, autonomous systems, and intelligent
perception), as well as on societal aspects (legal issues, regulations,
robotics ethics, human–robot co-existence, and employment).

The aim of this Special Issue is to provide an overview of the current
research in the robotic fields mentioned above. We invite authors of
contributions from IROS 2018 to submit the extended version of their
papers to this Special Issue.

For further reading, please follow the link to the Special Issue Website
at: https://www.mdpi.com/journal/robotics/special_issues/IROS2018.

The submission deadline is 31 May 2019. You may send your manuscript
now or up until the deadline. Submitted papers should not be under
consideration for publication elsewhere. We also encourage authors to
send a short abstract or tentative title to the Editorial
Office in advance (robot...@mdpi.com).

From Volume 6, all papers published in Robotics will be added in Scopus.
The journal is also indexed in Web of Science (Thomson Reuters), as part
of the ESCI database.

Robotics is fully open access. Open access (unlimited and free access by
readers) increases publicity and promotes more frequent citations, as
indicated by several studies. Open access is supported by the authors
and their institutes. An Article Processing Charge (APC) of CHF 350
currently applies to all accepted papers. You may be entitled to a
discount if you have previously received a discount code or if your
institute is participating in the MDPI Institutional Open Access Program
(IOAP), for more information see: http://www.mdpi.com/about/ioap.

For further details on the submission process, please see the
instructions for authors at the journal website
(http://www.mdpi.com/journal/robotics/instructions).

We look forward to hearing from you.

Best regards,
Linda Wang
Managing Editor

Robotics (ISSN 2218-6581; http://www.mdpi.com/journal/robotics) is a
journal published by MDPI, Basel, Switzerland. Robotics maintains
rigorous peer-review and a rapid publication process. All articles are
published with a CC BY 4.0 license. For more information on the CC BY
license, please see: http://creativecommons.org

To submit to the journal click here:
http://susy.mdpi.com/user/manuscripts/upload?journal=robotics

Unsubscribe:
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Manage your subscriptions:
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MDPI - Multidisciplinary Digital Publishing Institute
www.mdpi.com

St. Alban-Anlage 66
4052 Basel
Switzerland

Tel. +41 61 683 77 34
Fax +41 61 302 89 18


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[UAI] Multiple positions: Humanising Machine Intelligence@ANU

[Sylvie Thiebaux]

The Australian National University is launching a major new project on 
Humanising Machine Intelligence, uniting computer scientists, philosophers, and 
social scientists in the pursuit of a more ethical future for AI and Machine 
Learning.

We are currently recruiting 8 research-intensive academics, 3 of whom will be 
based in the Research School of Computer Science:

- Level: Academic Level B  or C   
http://en.wikipedia.org/wiki/Academic_ranks_(Australia_and_New_Zealand
- Salary (AUD): Level B: $98,009-$111,365 plus 17% superannuation,  Level C: 
$118,044-$131,402 plus 17% superannuation
- Duration: 3 years, with possibility of extension to 5 years following a 
successful project review. Consideration will be given to tenure-track or 
continuing positions in exceptional circumstances  (e.g. applicants already 
holding such a position).
- HMI project website: http://hmi.anu.edu.au/
- How to apply: deadline 15 February 2019 
http://jobs.anu.edu.au/cw/en/job/527904/research-fellowfellow
- Contact: sylvie.thieb...@anu.edu.au or 
lexing@anu.edu.au

The goal of the HMI project is to forestall the risks posed by inadequate 
attention to ethics in the design of MI systems, and help to realise the 
tremendous social benefits promised by MI. The project has three components: 
(1) Discovery: formulate the design problem by identifying the social risks and 
opportunities of widespread reliance on MI. (2) Foundations: identify and 
answer the fundamental theoretical questions on which progress towards ethical 
MI depends. (3) Design: develop ethical algorithms and broader MI systems in 
partnership with industry and government.

The HMI project chief investigators are: Colin Klein, Seth Lazar and Katie 
Steele (Philosophy), Marcus Hutter, Sylvie Thiébaux, Bob Williamson and Lexing 
Xie (Computer Science), Jenny Davis (Sociology), Idione Meneghel (Economics), 
and Toni Erskine (Political Science).

We are looking for up to eight talented academics to help us humanise machine 
intelligence. Our primary criterion is demonstrated research excellence in a 
discipline area relevant to the project, and the clear potential to be research 
leaders in their disciplines and in the field of moral AI. An interdisciplinary 
background is not required, but successful applicants will be ready and 
equipped to engage with scholars from other disciplines and are expected to 
work actively with scholars from at least two of the project’s discipline areas.

Three of these new academics will be based in the Research School of Computer 
Science. Within this discipline, we strongly encourage researchers with a wide 
range of technical backgrounds, including but not limited to computational 
social choice and game theory, decision theory, information theory, logic and 
automated reasoning, artificial general intelligence, machine learning, 
optimisation, planning & scheduling, reasoning about constraints & preferences, 
and reinforcement learning.

Successful applicants will help us design the next generation of more ethical 
MI systems, in part through publishing internationally influential research in 
the leading peer-reviewed venues (as suited to their discipline). We expect 
them to become leaders in academia, industry or government. As well as 
conducting research at the highest level, they will help build the HMI 
community at ANU and globally, through convening a regular seminar series and 
international workshops. They will also contribute, at a reduced intensity, to 
the education and outreach agendas of the School, in a manner appropriate to 
the level of appointment.

--

Prof. Sylvie Thiebaux
College of Engineering and Computer Science
The Australian National University
T: +61 2 6125 8678
E: sylvie.thieb...@anu.edu.au
W: http://users.cecs.anu.edu.au/~thiebaux/
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