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Today's Topics:
1. PhD position in Laboratory of Industrial System Optimization
(LOSI, UTT) (Taha Arbaoui)
2. Job Opening (Timo von Oertzen)
3. First CfP: Ambient Intelligence for Large Premises (AmILP
2016) at ECAI-16 (Marin Lujak)
----------------------------------------------------------------------
Message: 1
Date: Thu, 17 Mar 2016 15:12:39 +0100
From: Taha Arbaoui <taha.arbaoui@utt.fr>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] PhD position in Laboratory of Industrial System
Optimization (LOSI, UTT)
Message-ID:
<CANxzwsVHT5ba-QQ9Q3og0BOCu=aSoJkaFy+fH+rgx++RwLR8dw@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8
Dear colleagues,
A PhD position is available in the Laboratory of Industrial System
Optimization (LOSI <http://losi.utt.fr>) at the University of Technology of
Troyes UTT).
*Title:* Optimization of energy consumption in the production industry.
*Duration:* 3 years (starting September 2016)
*Keywords:* Energy consumption in industry, renewable energy, planning
and scheduling
With multiple energy sources, the industrial sector is facing new energy
configurations. Despite the diversity of energy sources available for
companies, they face considerable difficulties to decide which source(s)
should be used to reach the production objectives. Moreover, some regions
inside the same country have a large potential of solar energy whereas
others hold several wind farms. This leads to different prices for the same
type of energy according to the region. Consequently, the energy costs for
the same company depend on the localization, the energy sources used and
the amount of consumption. The subsidiary companies are required to follow
different energy strategies depending on their localization.
The objective of this Ph.D thesis is to develop innovative optimization
methods (Hyperheuristiques, column generation, branch-and-price, etc.) for
the minimization of energy consumption with multiple energy sources in
production industries. The proposed methods and techniques will help the
companies to use an efficient energy strategy depending on their
localization and the available energy sources. They must be generic to
allow their application on different fields and companies.
Candidates must hold a master's degree in computer science, applied
mathematics or operations research. They must demonstrate advanced skills
in programming (C and C++) and good knowledge of combinatorial optimization
techniques (Linear and integer programming, heuristics and
metaheuristiques) and solvers (CPLEX, GUROBI, etc.). A previous experience
on solving scheduling problems will be appreciated.
Applications must be sent in a pdf format (one file if possible) including
the curriculum vitae, transcripts of grades, copies of the recent diplomas
and, when possible, letters of recommendations and the master's thesis.
**
*Contact :*
***
Taha Arbaoui (taha.arbaoui
@
utt.fr), LOSI, UTT
***
Alice Yalaoui, (alice.yalaoui
@
utt.fr) HDR, LOSI, UTT
------------------------------
Message: 2
Date: Thu, 17 Mar 2016 15:24:33 +0100
From: "Timo von Oertzen" <timovoe@gmx.de>
To: <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] Job Opening
Message-ID: <012201d18058$ba8c2880$2fa47980$@gmx.de>
Content-Type: text/plain; charset="iso-8859-1"
Dear Colleagues,
The Quantitative Psychology group at the University of the Bundeswehr,
Munich, has a job opening for a scientific coworker (wissenschaftlicher
Mitarbeiter), both open for applications from graduate student with a master
degree (paid by TVöD 13) or post-doc position (paid by TVöD 14). The
position is first restricted for two years with an option for continuation.
It is possible to get a doctoral degree on this position. Requirement is an
interest in mathematical psychology including machine learning, or data
mining, or structural equation modeling, or software development for
statistical software. Formal requirement is a master/PhD in Psychology,
Mathematics, or Computer Science. German language skills are a plus, but not
required.
The job responsibilities include individual research, collaboration in the
group's research agenda, teaching assistance, and collaboration in
supervision of student research projects. The selection process will start
in the first week of April, but later applications may still be considered
until the position is filled. Applications should be e-mailed in pdf format
to timo.vonoertzen@unibw.de.
I'd appreciate if you could let potential candidates know about this job
opening. Please don't hesitate to ask me any further questions about the
position.
Best regards,
Timo von Oertzen
------------------------------------------------
Prof. Dr. Timo von Oertzen
Universität der Bundeswehr, München
Department für Psychologie
Gebäude 161, Zimmer 1010
Werner-Heisenberg-Weg 39
85577 Neubiberg, Germany
Büro: +49 89 6004 4456
Mobil: +49 152 5356 7264
Festnetz: +49 30 2241 2981
https://www.unibw.de/hum/dfp/qp
------------------------------
Message: 3
Date: Thu, 17 Mar 2016 16:52:42 +0100
From: Marin Lujak <marin.lujak@urjc.es>
To: <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] First CfP: Ambient Intelligence for Large Premises
(AmILP 2016) at ECAI-16
Message-ID: <006501d18065$0df4e320$29dea960$@urjc.es>
Content-Type: text/plain; charset="iso-8859-1"
==============================
First Call for Papers
AmILP 2016 at ECAI 2016
Date: August 29th, 2016
The Hague, Netherlands
*** Deadline: May 15th, 2016 ***
==============================
The First International Workshop on
Ambient Intelligence for Large Premises (AmILP 2016)
http://grasia.fdi.ucm.es/amilp2016
held at the European Conference on Artificial Intelligence (ECAI 2016)
WORKSHOP DESCRIPTION AND AIMS
In the name of the MOSI-AGIL (Social Modelling of Ambient Intelligence for
Large Premises) project (http://www.gsi.dit.upm.es/mosi/ ), we would like to
cordially invite you to consider contributing an original research paper to
AmILP 2016, held as part of the European Conference on Artificial
Intelligence (ECAI 2016).
Ambient Intelligence (AmI) is intended to provide users with systems tightly
integrated with their everyday environment and activities. The goal is
minimizing the need of explicit actions by users, through the continuous and
distributed orchestration of information and actuation devices. With the
advances in the field, AmI is pursuing growingly ambitious goals in terms of
the size and integration of its smart spaces, the number of served users,
and the level of adaptation to them.
AmILP 2016 will be focused on the particular challenges and potential
solutions that appear when AmI moves to Large Premises (LP). In this
context, new requirements consider big groups of people moving in premises
that fall beyond the classical closed and controlled environments of most
AmI systems. The ways of interaction, the expected services, and the
behaviour of people acquire a new dimension and variability in those
interconnected smart spaces. AmI systems need to adapt to the crowds using
large numbers of multiple and heterogeneous AmI resources in distributed and
frequently uncontrollable environments that cause unexpected dynamic changes
in the system topology.
TOPICS
AmILP 2016 aims at providing a forum for discussing recent advances in
engineering complex AmI systems acting in large premises. The research
emerging in this domain faces multidisciplinary issues, both technical and
social. In particular, the areas of interest are the following (not
exclusive):
Psychology of crowds
Sociology of crowds
Crowd simulation
Crowd coordination
Environment specifications and models
Inclusive design
Sensor networks
Information fusion
Machine learning
Agent-based simulation techniques and methodologies
AmI engineering driven by formal models
AmI toolkits and frameworks
AmI testing in large premises
Industrial case studies
Scalability in AmI for large premises
SUBMISSION REQUIREMENTS
Prospective authors are invited to prepare original papers formatted
according to the camera-ready style for ECAI 2016
<http://www.ecai2016.org/content/uploads/2015/10/ecai.tar.gz> . Papers
should be submitted electronically in PDF format using the EasyChair
conference management system available at
https://easychair.org/conferences/?conf=amilp2016 .
AmILP accepts both full-length and short papers. The maximum length for
short papers is 4 pages (at least 3 pages), while for full papers the
maximum length is 8 pages (at least 5 pages). Selected full papers will be
presented at the main workshop session. Selected short papers will be
presented in a poster session.
All submissions will be reviewed on the basis of their relevance,
originality, significance, soundness and clarity. At least three referees
will review independently each submission.
PROCEEDINGS
The organizers will provide a single PDF file to be posted on the ECAI 2016
website and on the ECAI-AmILP 2016 workshop website. Moreover, the
proceedings will be published in CEUR Workshop Proceedings series
(http://ceur-ws.org). Copyright of papers remain with the authors.
JOURNAL SPECIAL ISSUE
We also plan to publish a special issue of an ISI-ranked journal "Computer
Science and Information Systems" of a small number of best papers extended
with at least 30 % of additional unpublished original work and fully
refereed according to the journal standards. After the conference, authors
of selected full papers will be invited to re-submit their work for the
special issue.
ATTENDANCE
For each accepted paper, at least one author must register for AmILP 2016
and participate at the workshop. Please check the ECAI 2016 website for
registration procedure, fees as well as cancellation policies.
IMPORTANT DATES
- Submission deadline: May 15th, 2016
- Acceptance decision: June 5th, 2016
- Camera ready version: June 30th, 2016
- Early registration: [TBA]
- Late registration: [TBA]
- Workshop date: August 29th, 2016
WORKSHOP CO-CHAIRS
- Rubén Fuentes-Fernández (Universidad Complutense de Madrid, Spain)
- Marin Lujak (University Rey Juan Carlos, Spain)
PROGRAM COMMITTEE (TENTATIVE)
- Antunes, Luis, Universidade de Lisboa, Portugal
- Argente, Estefanía, Universidad Politécnica de Valencia, Spain
- Augusto, Juan Carlos, Middlesex University London, United Kingdom
- Balsa, João, Universidade de Lisboa, Portugal
- Bernon, Carole, Universite Paul Sabatier, France
- Billhardt, Holger, Universidad Rey Juan Carlos, Spain
- Blanke, Ulf, ETH Zurich, Switzerland
- Botía, Juan, Universidad de Murcia, Spain
- Cossentino, Massimo, ICAR-CNR, Italy
- Davidsson, Paul, Malmö University, Sweden
- Drury, John, University of Sussex, UK
- Dunkel, Jürgen, Hannover University of Applied Sciences and Arts,
Germany
- Gravina, Raffaele, University of Calabria, Italy
- Klügl, Franziska, Örebro Universitet, Sweden
- Molesini, Ambra, Università di Bologna, Italy
- Novais, Paulo, University of Minho, Portugal
- Petta, Paolo, OFAI, Austria
- Ricci, Alessandro, Università di Bologna, Italy
- Rossetti, Rosaldo, Universidade do Porto, Portugal
- Vizzari, Giuseppe, Università degli studi di Milano-Bicocca, Italy
FURTHER INFORMATION
Please visit the workshop website (http://grasia.fdi.ucm.es/amilp2016/ ) for
further information and regular updates.
For any enquiry, please contact
<mailto:amilp2016@easychair.org?Subject=[AmILP2016]%20Question>
amilp2016@easychair.org.
__________________________________
Marin Lujak, CETINIA, Universidad Rey Juan Carlos, Spain
<http://www.ia.urjc.es/~lujak/> http://www.ia.urjc.es/~lujak/
------------------------------
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