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Today's Topics:
1. Postdoctoral positions at MPII and U. de Chile (Jose Soto)
2. PhD studenship opportunity in the field of Data Analytics and
Optimisation (Annalisa Riccardi)
3. [PSD 2016 CFP] Submission deadline extended to May 8, 2016;
LNCS proceedings, Dubrovnik, Croatia, Sep. 14-16, 2016
(Joaquin Garcia-Alfaro)
4. Research Fellow (Automated Planning in Unpredicted
Situations) @ University of Melbourne (Adrian Pearce)
----------------------------------------------------------------------
Message: 1
Date: Fri, 29 Apr 2016 13:21:09 -0300
From: Jose Soto <jsoto@dim.uchile.cl>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] Postdoctoral positions at MPII and U. de Chile
Message-ID:
<CA+ngGf6CfRF_898em_z616BWvR3sYqYUK_Xz11TJz74azmmewA@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
A joint postdoctoral fellowship will be available at MPII (Saarbruecken)
and Universidad de Chile (Santiago) starting in August 2016, or by mutual
agreement at any date thereafter. The position is funded by the MPII-UChile
collaborative grant "Fast algorithms for Massive Data Set", therefore we
are looking for applicants with interests in the design and analysis of
algorithms.
The position is for 12 months renewable by mutual agreement. The selected
candidate will spend 6 months at U. de Chile working with Jose Correa, Jose
Soto, Jose Verschae and/or Andreas Wiese and 6 months at MPII working with
researchers from the Algorithms and Complexity group (e.g., Parinya
Chalermsook, and/or Antonios Antoniadis). Travel support is available.
Applicants must hold a recent PhD or be close to finishing their thesis.
Applications including curriculum vitae, list of publications, research
plan (1 page), and names of references with their e-mail addresses, should
be sent electronically to Jose Soto jsoto@dim.uchile.cl . To ensure full
consideration the application should be sent before the deadline of June
1st, 2016. Late applications might be considered on a case by case basis.
The Max-Planck-Institute for Informatics (MPII) is located on the campus of
the Universitaet des Saarlandes in Saarbruecken, Germany. Currently, around
40 researchers of several nationalities work in the Algorithms and
Complexity Department. The working language is English. The group
collaborates with several of the major research institutions in Europe and
the U.S. and has high international visibility.
The University of Chile is the main research institution in Chile. Its
school of Physical and Mathematical Sciences gathers 200+ full time
professors together with a large number of postdocs and researchers. The
school provides one of the very best research environments in Latin America
for exact sciences and technology.
--94eb2c0827ba2929b20531a20aac
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
<div dir=3D"ltr"><div>A joint postdoctoral fellowship will be available at =
MPII (Saarbruecken) and Universidad de Chile (Santiago) starting in August =
2016, or by mutual agreement at any date thereafter. The position is funded=
by the MPII-UChile collaborative grant "Fast algorithms for Massive D=
ata Set", therefore we are looking for applicants with interests in th=
e design and analysis of algorithms.</div><div><br></div><div>The position =
is for 12 months renewable by mutual agreement. The selected candidate will=
spend 6 months at U. de Chile working with Jose Correa, Jose Soto, Jose Ve=
rschae and/or Andreas Wiese and 6 months at MPII working with researchers f=
rom the Algorithms and Complexity group (e.g., Parinya Chalermsook, and/or =
Antonios Antoniadis). Travel support is available.</div><div><br></div><div=
>Applicants must hold a recent PhD or be close to finishing their thesis. A=
pplications including curriculum vitae, list of publications, research plan=
(1 page), and names of references with their e-mail addresses, should be s=
ent electronically to Jose Soto <a href=3D"mailto:jsoto@dim.uchile.cl">jsot=
o@dim.uchile.cl</a> . To ensure full consideration the application should b=
e sent before the deadline of June 1st, 2016. Late applications might be co=
nsidered on a case by case basis.</div><div><br></div><div>The Max-Planck-I=
nstitute for Informatics (MPII) is located on the campus of the Universitae=
t des Saarlandes in Saarbruecken, Germany. Currently, around 40 researchers=
of several nationalities work in the Algorithms and Complexity Department.=
The working language is English. The group collaborates with several of th=
e major research institutions in Europe and the U.S. and has high internati=
onal visibility.</div><div><br></div><div>The University of Chile is the ma=
in research institution in Chile. Its school of Physical and Mathematical S=
ciences gathers 200+ full time professors together with a large number of p=
ostdocs and researchers. The school provides one of the very best research =
environments in Latin America for exact sciences and technology.</div></div=
>
--94eb2c0827ba2929b20531a20aac--
------------------------------
Message: 2
Date: Fri, 29 Apr 2016 16:39:36 +0000
From: Annalisa Riccardi <annalisa.riccardi@strath.ac.uk>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] PhD studenship opportunity in the field of Data
Analytics and Optimisation
Message-ID:
<5F981B7DF1B7214DB40BAA37423DD2B62DC518B1@EX2010-MBX1.ds.strath.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"
The Department of Mechanical and Aerospace Engineering of Strathclyde University (Glasgow, UK) is looking for a PhD candidate to work on a research topic focused on Robust Data-Driven Optimisation for aerospace engineering applications.
Project Aims and Objective
The recent world has seen an explosion of available data, gathered from sensors, experiments and direct measurements. The engineering world is shifting from model-centred simulations to the assimilation of data into the modelling process. This opens up a wide area of research where large datasets are used to fine tuning engineering models, design uncertainty sets and infer knowledge about unknown parameters. This is particularly true in optimisation under uncertainties where usually simulation code and an apriori knowledge of the uncertainty distribution of the parameters is known or is assumed to be known. Bringing real data into this process will allow to design robust optimal solutions closer to the real industrial needs and more realistic uncertain scenarios. The main challenges in this field of research want to address the problems of efficiently handling and processing large quantity of data while extracting meaningful knowledge about the optimisation problem and uncertainty sets.
Qualifications
Master degree in computer science, applied mathematics, statistics or aerospace engineering
Experience
Experience in the field of optimisation and/or machine learning techniques is desirable
Student eligibility
UK and EU students, International students will also be considered.
Funding
The selected student will be presented as candidate for the John Anderson Research Award, one of the internal studentship scheme of Strathclyde University. https://www.strath.ac.uk/studywithus/scholarships/strathclyderesearchstudentshipscheme-johnandersonresearchawards/
For any enquires please contact
Annalisa Riccardi, PhD
Lecturer in Computational Intelligence
annalisa.riccardi@strath.ac.uk
__________________________________________
Department of Mechanical & Aerospace Engineering
Strathclyde University
James Weir Building, 75 Montrose Street
G1 1XJ Glasgow
+44.141574.5169
------------------------------
Message: 3
Date: Fri, 29 Apr 2016 22:35:24 +0200
From: Joaquin Garcia-Alfaro
<joaquin.garcia_alfaro@telecom-sudparis.eu>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] [PSD 2016 CFP] Submission deadline extended to May
8, 2016; LNCS proceedings, Dubrovnik, Croatia, Sep. 14-16, 2016
Message-ID: <5723C58C.4090101@telecom-sudparis.eu>
Content-Type: text/plain; charset=utf-8; format=flowed
Due to multiple requests, the deadline for final submission to PSD 2016
has been moved to
** May 8, 2016 (hard deadline)**
Please find attached the updated CFP.
(also available at http://unescoprivacychair.urv.cat/psd2016/)
PRIVACY IN STATISTICAL DATABASES 2016 (PSD 2016)
================================================
** SUBMISSION DEADLINE MAY 8, 2016**
Dubrovnik, Croatia, Sep. 14-16, 2016
http://unescoprivacychair.urv.cat/psd2016
1. AIMS AND GOALS
-----------------
Privacy in statistical databases is about finding tradeoffs to
the tension between the increasing societal and economical demand
for accurate information and the legal and ethical obligation to
protect the privacy of individuals and enterprises which are the
respondents providing the statistical data. In the case of
statistical databases, the motivation for respondent privacy is
one of survival: statistical agencies or survey institutes cannot
expect to collect accurate information from individual or
corporate respondents unless these feel the privacy of their
responses is guaranteed.
Beyond respondent privacy, there are two additional privacy dimensions
to be considered: privacy for the data owners (organizations owning or
gathering the data, who would not like to share the data they have
collected at great expense) and privacy for the users (those who
submit queries to the database and would like their analyses to stay
private). Co-utility has shown to provide sustainable solutions to
user privacy.
"Privacy in Statistical Databases 2016" (PSD 2016) is a conference
sponsored and organized by the UNESCO Chair in Data Privacy
(http://unescoprivacychair.urv.cat) with proceedings published by
Springer-Verlag in Lecture Notes in Computer Science. Generous support
by the Templeton World Charity Foundation is acknowledged. The purpose
of PSD 2016 is to attract world-wide, high-level research in
statistical database privacy.
PSD 2016 is a successor to PSD 2014 (Eivissa, Sep. 17-19, 2014,
http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep.
26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), PSD 2010
(Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010),
PSD 2008 (Istanbul, Sep. 24-26, 2008,
http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec.
13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004
(Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all
with proceedings published by Springer in LNCS 8744, LNCS 7556, LNCS
6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those seven
PSD conferences follow a tradition of high-quality technical
conferences on SDC which started with "Statistical Data
Protection-SDP'98", held in Lisbon in 1998 and with proceedings
published by OPOCE, and continued with the AMRADS project SDC
Workshop, held in Luxemburg in 2001 and with proceedings published in
Springer LNCS 2316.
Like the aforementioned preceding conferences, PSD 2016 originates in
Europe, but wishes to stay a worldwide event in database privacy and
SDC. Thus, contributions and attendees from overseas are welcome.
2. ORGANIZATION
---------------
PROGRAM COMMITTEE
Jane Bambauer (University of Arizona, USA)
Bettina Berendt (KU Leuven, Belgium)
Elisa Bertino (CERIAS, Purdue University, USA)
Aleksandra Bujnowska (EUROSTAT, European Union)
Jordi Castro (Polytechnical University of Catalonia)
Ann Cavoukian (Ryerson University, Canada)
Lawrence Cox (NISS, USA)
Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)
Joerg Drechsler (IAB, Germany)
Khaled El Emam (University of Ottawa, Canada)
Mark Elliot (Manchester University, UK)
Stephen Fienberg (Carnegie Mellon University, USA)
Sarah Giessing (Destatis, Germany)
Sara Hajian (Eurecat Technology Center, Catalonia)
Alan Karr (CoDA, RTI, USA)
Julia Lane (New York University, USA)
Bradley Malin (Vanderbilt University, USA)
Oliver Mason (National University of Ireland-Maynooth, Ireland)
Laura McKenna (Census Bureau, USA)
Gerome Miklau (University of Massachusetts-Amherst, USA)
Krish Muralidhar (The University of Oklahoma, USA)
Anna Oganyan (National Center for Health Statistics, USA)
Christine O'Keefe (CSIRO, Australia)
Jerry Reiter (Duke University, USA)
Yosef Rinott (Hebrew University, Israel)
Juan Jose Salazar (University of La Laguna, Spain)
Pierangela Samarati (University of Milan, Italy)
David Sanchez (Universitat Rovira i Virgili, Catalonia)
Eric Schulte-Nordholt (Statistics Netherlands)
Natalie Shlomo (University of Manchester, UK)
Aleksandra Slavkovic (Penn State University, USA)
Jordi Soria-Comas (Universitat Rovira i Virgili, Catalonia)
Tamir Tassa (The Open University, Israel)
Vicenc Torra (Skovde University, Sweden)
Vassilios Verykios (Hellenic Open University, Greece)
William E. Winkler (Census Bureau, USA)
Peter-Paul de Wolf (Statistics Netherlands)
PROGRAM CHAIR
Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i
Virgili, Catalonia)
GENERAL CHAIR
Mirjana Pejic-Bach (Faculty of Business & Economics, University of
Zagreb, Croatia)
ORGANIZATION COMMITTEE
Ksenija Dumicic (Faculty of Business & Economics, University of Zagreb,
Croatia)
Joaquin Garcia-Alfaro (Telecom SudParis, France)
Goran Lesaja (Georgia Southern University, USA)
Jesus Manjon (Universitat Rovira i Virgili, Catalonia)
Tamar Molina (Universitat Rovira i Virgili, Catalonia)
3. TOPICS OF INTEREST
---------------------
Topics of interest include but are not limited to:
- New anonymization methods for tabular data
- New anonymization methods for microdata
(including non-conventional microdata types such as trajectories,
graphs, etc.)
- Best anonymization practices for tabular data
- Best anonymization practices for microdata
- Co-utility for privacy preservation
- Big data anonymization
- Streaming data anonymization
- Decentralized anonymization
- Balancing data quality and data confidentiality in SDC
- Differential privacy and other privacy models
- SDC transparency issues
- Onsite access centers - Remote access facilities - SDC software
- Estimating disclosure risk in SDC
- Record linkage methods
- Real-life disclosure scenarios in EU-member states and abroad
- Privacy preserving data mining (both cryptographic and non-cryptographic)
- Private information retrieval
- Privacy in web-based e-commerce
- Privacy in healthcare
- Privacy in official and corporate statistics
- Other data anonymization issues
4. SUBMISSIONS
--------------
Full papers containing either original technical contributions or
high-quality surveys on the above topics or on related topics are
sought.
A submission should be clearly marked either as an original paper or a
survey. Submissions should contain a cover letter indicating:
1) whether the submission is a survey or an original contribution;
2) the title of the submission;
3) keywords classifying the paper topic;
4) the names and affiliations of authors;
5) the e-mail, telephone and facsimile numbers of the contact author.
The submission itself should be sent as an attached PDF file.
Submission and their cover letters should be sent to: psd2016@urv.cat
Camera-ready versions of accepted papers should be prepared using the
LaTeX2e style or the Word template of Springer Verlag Lecture Notes in
Computer Science. For LaTeX2e, a macro package llncs.zip and an
example file typeinst.zip can be downloaded from
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 For
Microsoft Word, a template word.zip can be downloaded from the same
page above.
We encourage authors to use the above formats already for their
submissions.
LENGTH OF SUBMISSIONS.
Using the above format with 11 point font, the paper should be at most
12 pages excluding bibliography and appendices, and at most 16 pages
total. Committee members are not required to read appendices; the
paper should be intelligible without them. Submissions not meeting
these guidelines risk rejection without consideration of their merits.
5. PROCEEDINGS
--------------
Among PSD 2016 accepted papers, a selection will be made based on
quality and coverage and the selected papers will be published in the
Lecture Notes in Computer Science (LNCS) series by Springer. This
follows the tradition of the previous PSD conferences.
The remaining accepted papers will be published in a CD with an ISBN.
It is possible to submit a paper directly for the CD, which benefits
from a later submission deadline (see CD-only dates below).
The form of publication of an accepted paper will be clearly specified
in the acceptance message. Both the LNCS volume and the CD will be
*available at the conference*.
6. IMPORTANT DATES
------------------
Submission deadline: **MAY 8, 2016 (already extended, hard deadline)**
Acceptance notification: June 16, 2016
Proceedings version due: June 26, 2016
Conference: Sep. 14-16, 2016
CD-only submission deadline: June 26, 2016 CD-only acceptance
notification: July 15, 2016 CD-only proceedings version due: July 28,
2016
7. VENUE AND TRAVEL
-------------------
The conference will take place at the Centre for Advanced
Academic Studies of the University of Zagreb
Don Frana Bulica 4
20000 Dubrovnik, Croatia
http://www.caas.unizg.hr/
Further venue, travel and accommodation information will be posted in
due course at http://unescoprivacychair.urv.cat/psd2016
A number of travel grants are made available by the UNESCO Chair in
Data Privacy, especially for authors and delegates from transition
countries. Information on grants is posted in the conference web site.
8. REGISTRATION
---------------
Registration information will be posted no later than June 2016 at:
http://unescoprivacychair.urv.cat/psd2016
------------------------------
Message: 4
Date: Sat, 30 Apr 2016 04:54:26 +0000
From: Adrian Pearce <adrianrp@unimelb.edu.au>
To: "DMANET@zpr.uni-koeln.de" <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] Research Fellow (Automated Planning in Unpredicted
Situations) @ University of Melbourne
Message-ID:
<BEA23E2DFDE19E41B10F68DAB5AA9502015D968C63@000S-EX-MBX-QS4.unimelb.edu.au>
Content-Type: text/plain; charset="us-ascii"
====================================================================================
RESEARCH FELLOW IN ARTIFICIAL INTELLIGENCE - AUTOMATED PLANNING IN UNPREDICTED SITUATIONS ====================================================================================
Applications close: 11 May 2016 11:55 PM Aus. Eastern Standard Time
Professor Peter Stuckey & Assoc Professor Adrian Pearce
The University of Melbourne is seeking an outstanding Research Fellow to conduct leading edge research in automated planning. The project is in conjunction with our research partners at Defence Science and Technology Group (DST Group), and forms part of DST Group's Tyche Special Research Initiative (SRI) into trusted autonomy. It concerns distributed multi-agent planning and reasoning in dynamic environments, with a specific focus on automated planning in unpredicted situations.
The position will be located in the Department of Computing and Information Systems within the Melbourne School of Engineering.
Salary $92,654-$110,022 AUD p.a. plus 9.5% superannuation
The successful candidates will conduct leading-edge research and development in the area of automated planning or a related area.
As part of the team, working with Assoc Professor Adrian Pearce, Professor Liz Sonenberg, Dr. Tim Miller, Dr. Nir Lipovetzky and Dr. Michelle Blom, you would be involved in discovering automated reasoning techniques for robustness and distributed adaptability under irreducible uncertainty in a range of applications, including land vehicles and autonomous team tactics discovery.
The role will involve investigation of The candidate should be prepared for occasional interstate travel, as the research is conducted in close collaboration with our research partners. The position is for a fixed term of 2 years.
RESEARCH GROUP
The successful candidate will be part of a team that works collaboratively on all aspects of the project, from concepts, theoretical underpinning and design, through implementation and experimentation, to publication of results and maintenance and refinement of generated software. Primary responsibilities will involve the development of novel planning and reasoning mechanisms in distributed multi-agent environments.
The successful candidate will be located in the Department of Computing and Information Systems in the Melbourne School of Engineering and will be expected to be an active member of the Department, collaborating with other researchers.
APPLICATION PROCEDURE
http://www.jobs.unimelb.edu.au
Research Fellow in Supply Chain Optimisation: position number 0040677 (closes 11 May 2016 11:55 PM Aus. Eastern Standard Time)
Please download the Position Description at the following link:
http://jobs.unimelb.edu.au/caw/en/job/887981/research-fellow-in-artificial-intelligence
Contact: For more information, please contact Adrian Pearce, adrianrp@unimelb.edu.au
------------------------------
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End of dmanet Digest, Vol 99, Issue 2
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