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Today's Topics:
1. Post-doc position on Network Uberization and Game Theory
(Orange Labs, France) (amal.benhamiche@orange.com)
2. PhD scholarships in Data Science and Discrete Applied
Mathematics in AI and Machine Teaching (Pablo Moscato)
3. CFP CPSCom2016 (Yu Wang)
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Message: 1
Date: Wed, 31 Aug 2016 14:51:38 +0000
From: <amal.benhamiche@orange.com>
To: "dmanet@zpr.uni-koeln.de" <dmanet@zpr.uni-koeln.de>
Subject: [DMANET] Post-doc position on Network Uberization and Game
Theory (Orange Labs, France)
Message-ID:
<32527_1472655099_57C6EEFB_32527_5397_1_3F79B5555D08A446AF0A84FF0E8AEEBFA2A355@OPEXCLILM33.corporate.adroot.infra.ftgroup>
Content-Type: text/plain; charset="utf-8"
Dear colleagues,
[Apologies for cross-posting.]
The Traffic and Resource Modelling department of Orange Labs (Châtillon, France) is opening a 12-months post-doctoral position in Applied Mathematics/Game Theory. The deadline for current application is 2nd October 2016 and the starting date is expected for 1st December 2016 (at latest).
A brief description of the proposal along with the details concerning the position can be found hereafter. For further information or question, please contact Amal Benhamiche (amal.benhamiche@orange.com).
***
Network Uberization: Game Theoretical Models and Algorithms
Context:
The main revenues for telecommunication operators currently come from retail sales of network access (fixed broadband, mobile and PSTN). However, their contribution to the value chain might be steadily reduced in the coming years. In fact, competition among the operators, together with the regulation effects and the arising of new actors (the so-called "ubers"), places additional stress on the traditional value chains. In addition, the operators are facing important investments in infrastructures for the bandwidth increase in fixed and mobile access (e.g. 4G, optical fiber). Besides, the operators see their customer revenue stagnate, and they have to rethink their value chains and review their business models. Beyond the "classical" offers to the business clients, it becomes necessary for the operators to develop an intermediate ("wholesale") market, in between them and the retail market. In this context, the uberization becomes a central element in understanding the process of disintermediation of the access providers. In other industrial sectors, the most telling examples of uberization are the mobile application company "Uber" for transportation and "Airbnb" for the hotel reservations.
The operators positioning and the necessity to adequately response to this new kind of actors become then key questions. In this context, we would like to study the economic impacts of network uberization and identify the best responses for each actor of the system.
Objective:
The objective of the post-doc is to establish a set of methodological tools for modeling strategic responses when faced to the network uberization, and to quantify their economic impact, in order to assess the risks and opportunities related to such strategies. It is necessary to first identify the technological issues and define an appropriate model that embeds the relationships among actors, as well as the possible strategic responses in this context. Secondly, the objective is to develop efficient tools to analyze and solve the underlying games (simulation, analytical-based approaches, etc.).
In particular, the post-doctoral candidate will have to:
(i) study the impact of network uberization on the operators revenue,
(ii) model the competition framework and the possible interactions among the actors (coalitions, cooperation, etc.),
(iii) formalize the possible replies to this phenomenon given the competitive context,
(iv) evaluate the costs and payoffs associated with each strategy in order to select the most suitable one(s),
(v) promote the obtained results (papers, conferences, etc.).
Profile and skills:
Candidates should hold a Ph.D. in Applied Mathematics/Computer Science/Economics. They should have a good knowledge in mathematical modeling, Game Theory, Economics, and an ability for programming in C++ or Python for example. A knowledge of the telecommunications industry would be a plus.
Required qualities:
- Autonomy, rigor, sense of initiative,
- Communication skills (written and verbal) in English and eventually in French.
The position and work environment:
- 1-year fixed term contract with a starting date of 1st December 2016 at the latest,
- Gross salary of 37 K€ (depending on the background and experience of the candidate).
The post-doctoral candidate will join the Traffic and Resource Modelling (TRM) department, which is part of the Orange Labs division for Research and Innovation (Châtillon, France). The team has a dozen of permanent engineers/researchers whose mission is to design models and algorithms for optimizing the resource utilization and assess the performance of the different networks deployed and managed by Orange.
Application procedure:
All applicants are invited to send their applications to the following website:
https://orange.jobs/jobs/offer.do?do=fiche&id=54918
And include a cover letter, CV with a list of publications and one letter of reference. For further information or question about the position, please contact Amal Benhamiche (amal.benhamiche@orange.com).
Best regards,
Amal Benhamiche
_________________________________________________________________________________________________________________________
------------------------------
Message: 2
Date: Thu, 1 Sep 2016 13:06:59 +0000
From: Pablo Moscato <pablo.moscato@newcastle.edu.au>
To: "DMANET@zpr.uni-koeln.de" <DMANET@zpr.uni-koeln.de>
Subject: [DMANET] PhD scholarships in Data Science and Discrete
Applied Mathematics in AI and Machine Teaching
Message-ID: <mailman.2.1472810401.3821.dmanet@zpr.uni-koeln.de>
Content-Type: text/plain; charset="iso-8859-1"
Applications close 15 September!
We have several research programs related to Big Data analytics in our group. We also work in machine learning, machine teaching and artificial intelligence, evolutionary computation, theoretical computer science and applications of computer science in the social sciences.
We also welcome your ideas and feel free to suggest potential areas of interest. We are also developing a strong profile in the areas of Business and Consumer Analytics and Computational Sytlistics.
Since 2002, we have pioneered several new approaches based on Discrete Applied
Mathematics and Computer Science for Information-based Medicine.
See the online presentation:
Information-based Medicine and Combinatorial Optimization: Opportunities and Challenges
http://www.euro2016.poznan.pl/pablo-moscato/
Cut-off date is August 31st for this great opportunity to study in Australia in one of the top universities in Applied Mathematics.
See the link below for a lively video about our city.
http://www.youtube.com/watch?v=ukQnPrxR4Cg
and a great Instagram feed about the natural beauty of the region and its city
https://www.instagram.com/mynewcastle/
For more information about the application forms and requirements see:
additional information about the China Scholarship Council can be found here
*******************************************************************************
Prof. Pablo Moscato - Australian Research Council Future Fellow
https://au.linkedin.com/pub/pablo-moscato/2b/5/4
Email: Pablo.Moscato@newcastle.edu.au;
https://www.newcastle.edu.au/profile/pablo-moscato
------------------------------
Message: 3
Date: Thu, 1 Sep 2016 12:06:33 -0400
From: Yu Wang <Yu.Wang@uncc.edu>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP CPSCom2016
Message-ID: <mailman.3.1472810401.3821.dmanet@zpr.uni-koeln.de>
Content-Type: text/plain; charset=UTF-8
Apologize if you receive multiple copies of this CFP
**********************************************************************
The 9th IEEE International Conference on Cyber, Physical
and Social Computing (CPSCom2016)
http://umc.uestc.edu.cn/conference/cybermatics2016/CPSCom2016/
Dec. 15th-18th, 2016, Chengdu, Sichuan, China
**********************************************************************
As an emerging cross-disciplinary research area, the Cyber Physical
System (CPS) is attracting attention worldwide. A Cyber-Physical
System is a system featuring a combination of computational and
physical elements, all of which are capable of interacting, reflecting
and influencing each other. Furthermore, social systems are evolving
with cyber systems and physical systems along with the popularity of
online/mobile social networking. With the advent of ubiquitous sensing
and networking, future social networks turn into cyber-physical
interactions, which are attached with associated social attributes.
The emergence of the cyber-physical-social computing (CPSCom) will
significantly change the way we watch the world. Meanwhile, the
convergence of the cyber, physical, and social spaces will exhibit a
variety of complicated characteristics, which brings more open issues
and challenges for research communities.
The goal of this symposium is to promote community-wide discussion
identifying the Computational Intelligence technologies and theories
for Cyber, Physical, and Social Computing. We seek submissions of
papers which invent new techniques, introduce new methodologies,
propose new research directions and discuss approaches for unsolved
issues.
CPSCom 2016 will be held on 15-28 December 2016 in Chengdu, Sichuan,
China, co-located with GreenCom 2016, Smart Data 2016 and iThings
2016. It aims to bring together computer scientists, industrial
engineers, and researchers to discuss and exchange experimental and
theoretical results, novel designs, work-in-progress, experience, case
studies, and trend-setting ideas in the areas of dependability,
security, trust and/or autonomic computing systems. Topics of
particular interests include the following tracks, but are not limited
to:
A.Wireless Sensing and Networking where intelligent entities exchange
information to achieve improved overall performance for both cyber and
physical components.
- sensor, vehicular, robot, camera, aerial and social smartphone networks
- smartphone/wearable sensing,
- non-intrusive sensing
- wireless networking technologies and opportunistic networks
- internet of things and machine-to-machine communications
- hybrid and complex networks for CPSCom
- scalability of complex networks
B. System Modeling and Control where mathematical and computational
methods are developed and applied to facilitate innovative design,
in-depth analysis, and novel insights of the fundamental principles of
CPSCom.- modeling of cyber-physical-social systems
- control theory with a clear cyber-physical tone
- autonomy with apps in mobile sensor networks, internet connected
cars, robotics, etc.
- resource-constrained systems (low power, energizing, device miniaturization)
- real-time systems and distributed computing
- generic framework and middleware for cyber-physical-social systems
C. Data-Driven Cyber-Physical-Social Systems where novel methods are
developed to reliably gather, store, transfer, and analyze large
amount of data and dataflow.- cyber-physical-social data model
- data management and data mining
- big data intelligence
- social and community intelligence
- crowd computing models
- pervasive and ubiquitous computing
- fusion/integration of data from cyber-physical-social spaces
D. Novel Applications and Services where novel designs and
implementations of test-beds, platforms, and apps will significantly
improve the speed, efficiency, and reliability of next generation
CPSCom.
- smart city and urban computing
- smartphone and wearable apps
- personalization and social network apps
- intelligent transportation systems
- internet of robotics and intelligent industry
- healthcare and well-being
- big-data-driven apps
- business intelligence
E. Emerging Research Areas where new challenges and new ideas are shaping
- security, trust, and privacy issues in CPSCom
- social impacts of CPSCom
- cross-space sensing and computing
- human-in-the-loop systems
****************
IMPORTANT DATES
****************
Submission Deadline : Sep. 30, 2016
Author Notification: Oct. 31, 2016
Final Manuscript Due: Nov. 15, 2016
Registration Due: Nov. 15, 2016
******SUBMISSION and PUBLICATION******
Papers need to be prepared according to the IEEE format, and submitted
in PDF format via the CPSCom 2016 submission site:
http://umc.uestc.edu.cn/conference/cybermatics2016/CPSCom2016/paper-submission.php
Accepted and presented papers will be included into the IEEE
Conference Proceedings published by IEEE CS Press (indexed by EI).
Authors of accepted papers, or at least one of them, are requested to
register and present their work at the conference, otherwise their
papers will be removed from the digital libraries of IEEE CS and EI
after the conference.
Selected high quality papers will be recommended to relevant special
issues in SCI-indexed journals. Please visit the CPSCom 2016 website
http://umc.uestc.edu.cn/conference/cybermatics2016/CPSCom2016/special-issue.php
for the complete listing of special issues.
------------------------------
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End of dmanet Digest, Vol 103, Issue 2
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