Job Opening on Large-Scale Data Management in Sensor-rich environments, Bielefeld, Germany

Postdoctoral/Doctoral position in "Large-scale stream data management and machine learning in sensor-rich environments" at the Cognitive Interaction Technology Center of Excellence, Bielefeld
The Center of Excellence Cognitive Interaction Technology [1] at Bielefeld University, Germany has an open position in the area of large-scale stream data management and machine learning in sensor-rich environments.


In order to exploit the proliferating sensor information available in today's intelligent systems such as mobile robots and to scale up the application of learning algorithms, efficient management of streaming and stateful system data is an important challenge. The goal of the project is to develop novel memory architectures that allow to efficiently store, index, and query sensorial in addition to symbolic data extracted from real-time data streams or processed and managed by higher-level components targeting learning and human-machine interaction tasks.
The successful candidate will work together with a group of scientists on developing novel solutions in the context of intelligent smart homes and robotics that learn to adapt their behaviour to users and situations. For this, a scalable data management and memory infrastructure is needed. The candidate will contribute to the development of this infrastructure, building on mature large-scale data management and storage solutions, in particular NoSQL or graph databases, and develop novel solutions for the use cases and requirements of the project on top of existing solutions. A particular challenge will be to develop a software architecture that is highly available targeting 24/7 operation, while at the same time supporting real-time application running in a smart environment. Example challenges and tasks to be tackled include the following ones:


* develop data management solutions that scale to rapid and huge data streams
* develop flexible data structures that allow to move between different layers of representational granularity with recent data having the highest granularity
* develop synopsis and summary data structures for the data stream in order to support answering frequent queries
* efficient implementation of distance measures for approximate querying
* develop data structures and models that can model the relations between different representations stored in memory, allowing to query/filter by relations




This position is particularly suitable for candidates interested in working with Big Data in the context of embodied intelligent systems for human-machine interaction and willing to acquire the skills necessary to work on real-time processing of large data streams.


The successful candidate is expected to have a strong background in at least three of the following areas:


- Data Modelling & Data Management
- Stream Data Management (load shedding, window-based computation, )
- Relational or Graph Databases
- NoSQL databases (e.g. HBASE, RIAK, MongoDB, ...)
- Large-scale Machine Learning and Data Mining
- Sensor Networks
- Software Engineering


Candidates with expertise in several topics will be given preference. Applicants are expected to have strong programming skills, the ability to work independently, strong interpersonal skills as well as strong English language skills. Candidates should be qualified for and willing to perform state-of-the-art research. Knowledge of German is not required.


CITEC is a leading centre in the area of cognitive and intelligent systems, spanning more than 40 PIs with their research groups and spanning at least five disciplines (Computer Science, Linguistics, Psychology, Biology and Sport Science) at Bielefeld University [2]. Candidates are expected to be interested in interdisciplinary and group work.


CITEC provides the chance to perform cutting-edge research in an international context. Applicants for a postdoc position will have the chance to perform independent research on the topics of the group that qualifies them for an academic career and allows them to position themselves as independent researchers in the community. PhD applicants will receive supervision and support in developing the necessary skills to produce high-quality research necessary to earn a PhD Degree. Candidates will be supervised by a team of well-known researchers in the field of intelligent system, in particular by Prof. Philipp Cimiano and Dr. Sebastian Wrede.


The salary for both PhD and postdoc positions is around 3.300 Euro per month (pre taxes), according to scale TV-L E 13 in the German University System and can vary depending on age, marital status, tax class etc. The salary increases with the duration of the employment. An online tool to calculate the post-tax income can be found at [3] (indicating E-13).


Bielefeld is one of the 20 largest cities in Germany (with close to 330.000 inhabitants) [4]. It is a lively city with a lot of cultural and entertainment opportunities (see [5]). It is located in the heart of the Teutoburg Forest [6], offering many opportunities for outdoor and leisure activities.


The position is available for two years and can be prolonged for one more year. Candidates are expected to start on March 1st, 2014.


Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognised as a family friendly university. The University welcomes applications from women. This is particularly true with regard both to academic and technical posts as well as positions in Information Technology and trades and crafts. Applications are handled according to the provisions of the state equal opportunity statutes.


Applications are invited until January 6th, 2014 and will be processed as they are received. Interviews will be scheduled via Skype or F2F in January.


Applicants will be informed of the outcome of the selection by end of October 2013. Applications should be sent by email to Prof. Philipp Cimiano at cimiano@cit-ec.uni-bielefeld.de, preferably as *one* PDF document including a CV, motivation letter, publication record (if applicable), record of teaching activities (if applicable) and any other relevant information in addition to the names of two referees. The application should highlight the expertise in the areas mentioned above and express the research interests of the applicant.



[1] http://www.cit-ec.de/
[2] http://www.uni-bielefeld.de/International/
[3] http://oeffentlicher-dienst.info/tv-l/west/
[4] http://en.wikipedia.org/wiki/Bielefeld
[5] http://www.bielefeld.de/en/index.html
[6] http://en.wikipedia.org/wiki/Teutoburg_Forest

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Post-doc position in Multimedia Indexing at EURECOM, Multimedia Communications Department, Sophia Antipolis, France

Post-doctoral position in Multimedia Indexing
Location: EURECOM, Multimedia Communications Department, Sophia Antipolis, France

Duration: 12 months

Description

We have an open position for a post-doc to work on several aspects of
Multimedia Indexing, in particular Multimedia fusion and co-training. We
are looking for candidates who are highly motivated to conduct high
quality research, propose and evaluate innovative solutions for the
difficult problems that arise when automatically analyzing Multimedia
content. This research is conducted in partnership with other French
laboratories and companies.

Candidates should have a PhD Degree (or equivalent) in Computer Science,
or a closely related area, with a good knowledge of Machine Learning
techniques, and possibly an experience on multimedia analysis. Good
programming skills are expected. A good level of written and spoken
English is mandatory.

Application

Screening of applications will begin immediately, and the search will
continue until the position is filled. Applicants should send, to the
email address below (i) a CV, (ii) a motivation letter, (iii) contact
details for three referees, (iv) a two page statement of research
interests and motivation.

Postal address :
EURECOM,
Campus SophiaTech,
450 route des Chappes,
06410 Sophia Antipolis,
France

Contact : Prof. Bernard Merialdo, Bernard.Merialdo@eurecom.fr
Web page : http://www.eurecom.fr/mm/
Phone number : +33 4 93 00 81 29
Fax number : +33 4 93 00 82 00

EURECOM is a French graduate school and a research center in
communication systems based in the international science park of Sophia
Antipolis, which brings together renowned universities such as Télécom
ParisTech, Aalto University (Helsinki), Politecnico di Torino,
Technische Universität München (TUM), Norwegian University of Science
and Technology (NTNU) and Vietnam National University Ho Chi Minh Ville
(VNU). The Principality of Monaco is a new institutional member. The
Institut Mines-Télécom is EURECOM¹s founding member.

EURECOM benefits from a strong interaction with the industry through its
specific administrative structure: Economic Interest Group (kind of
consortium), which brings together international companies such as:
Swisscom, SFR, Orange, ST Microelectronics, BMW Group Research &
Technology, Symantec, Monaco Telecom, SAP, IABG. EURECOM deploys its
expertise around three major fields: Networking and security, Multimedia
Communications and Mobile Communications. EURECOM is particularly active
in research in its areas of excellence while also training a large
number of doctoral candidates. Its contractual research is recognized
across Europe and contributes largely to its budget.

Thanks to its strong ties set up with the industry, EURECOM was awarded
the ³Institut Carnot² label jointly with the Institut Telecom right from
2006. The Carnot Label was designed to develop and professionalize
cooperative research. It encourages the realization of research projects
in public research centers that work together with socioeconomic actors,
especially companies.

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Postdoctoral positions in Computer Science in Helsinki, Finland

POSTDOCTORAL POSITIONS IN COMPUTER SCIENCE IN HELSINKI, FINLAND
Application deadline Sept 30, 2013, 3:00 p.m. EEST

Topics include: Algorithms, Bioinformatics, Human-Computer
Interaction, Information retrieval, Logic, Machine Learning, Networks,
Statistical Data Analysis, etc. http://www.hiit.fi/postdoc-call-2013

Jobs are available at:
Helsinki Institute for Information Technology HIIT, Aalto Univ and
Univ Helsinki;
Dept Computer Science, Univ Helsinki;
Dept Information and Computer Science, Aalto Univ;
Dept Computer Science and Engineering, Aalto Univ;
Dept Mathematics and Statistics, Univ Helsinki.

Why Helsinki? The collaborating Aalto University and University of
Helsinki form a leading hub of computer science and modelling.
Helsinki region is a safe, pleasant and attractive place to live in,
with well-functioning services such as public transport etc. Finland
has a comprehensive social security and health care system, including
exceptionally good parental leaves, and children's day care services.

Positions are offered in:

Algorithm engineering (String Algorithms group)
Algorithmic bioinformatics (Genome-Scale Algorithmics group)
Automated reasoning and search, especially propositional logic (Computational Logic group)
Computational astrophysics and/or data analysis (Computational Methods and Data Analysis for Astrophysics group)
Computational biology and statistical methods in bioinformatics (Computational Systems Biology group)
Computational creativity and data mining (Discovery group)
Dynamic and large-scale networked systems (Data Communications Software group)
Intelligent multimodal information access (Content-Based Image and Information Retrieval Group)
Machine learning and neuroscience (Statistical Machine Learning group)
Machine learning for structured data (Kernel Machines, Pattern Analysis and Computational Biology group)
Machine learning methods for infectious disease epidemiology (Bayesian Statistics Group)
Probabilistic modeling and machine learning (Complex Systems Computation group)
Statistical machine learning (Statistical Machine Learning group)
Analysing ubiquitous sensor data (HIIT-Wide Focus Area)
Interactive visualization (HIIT-Wide Focus Area)
Affective computing and BCI (HIIT-Wide Focus Area)
Intelligent user interfaces and/or recommender systems (HIIT-Wide Focus Area)
Information retrieval (HIIT-Wide Focus Area)
Machine learning and data analysis, especially information retrieval, HCI, text and context data (HIIT-Wide Focus Area)
Probabilistic modeling and data analysis for bioinformatics (HIIT-Wide Focus Area)

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1 Postdoc and 2 PhD positions in Game Studies, The Netherlands

Utrecht University (UU), Eindhoven University of Technology (TU/e) and Erasmus University Rotterdam (EUR) are looking for highly motivated Postdoc and PhD candidates who consider it a challenge to conduct their research in the context of a collaborative research project funded by the Netherlands Organisation for Scientific Research (NWO) on Persuasive gaming. From theory-based design to validation and back. The project is a collaboration between UU, TU/e, EUR and a number of Dutch game developers.

Project description

The research in this collaborative project is concerned with the characteristics, design principles, and effectiveness of persuasive gaming. We study gaming practices that combine the dissemination of information with attempts to engage players in particular behaviors and attitudes. The project has three subprojects: two PhD projects and one Postdoc project. The PhD projects focus on design principles (TU/e) and validation (EUR), the Postdoc project  focuses on the persuasive dimensions of serious games (UU).

Offer

Employments start October 1, 2013. The postdoc contract will be running for 3,0 years, the PhD contracts will be running for 4,0 years. Apply until: 19 August 2013. In the Netherlands, a PhD and a Postdoc are considered to be proper jobs. In other words, they are paid to conduct their research.

Additional information

Additional information about the positions can be obtained through the following link: www.persuasivegaming.nl.

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Post-Doctoral Research Position at IIIA-CSIC, Barcelona

POST-DOCTORAL RESEARCH POSITION AT IIIA-CSIC, BARCELONA

The Artificial Intelligence Research Institute (IIIA-CSIC) will offer a 2.5-year post-doctoral research position to work on COINVENT, a high-profile international research project to be funded under the European Commission's 7th Framework Programme.

The IIIA-CSIC belongs to the Spanish National Research Council, Spain's largest public institution devoted to research and technological development. The IIIA-CSIC is a leading research centre in Europe in the areas of multiagent systems, machine learning, and uncertainty reasoning. It attracts funding from the European, Spanish, and Catalan governments and has substantial collaborative research projects with industry.

The COINVENT project, led by Dr. Marco Schorlemmer and Prof. Enric Plaza, aims at advancing in the formal understanding of creativity by developing a computationally feasible, cognitively-inspired formal model of concept invention, drawing from interdisciplinary research results from cognitive science, artificial intelligence, formal methods and computational creativity, and validating it for mathematical reasoning and melodic harmonisation. For more details pleas visit http://www.iiia.csic.es/coinvent/.

REQUIREMENTS:
- doctoral degree in computer science or related fields
- programming skills and the ability to demonstrate a knowledge of techniques in artificial intelligence, particularly in computational logic, formal methods, knowledge representation and reasoning
- excellent oral and written skills in English, including writing reports and academic publications
- the ability to work independently or as part of a team with academic and commercial partners to achieve goals within tight time constraints
- the ability to demonstrate enthusiasm about state-of-the-art research, development and technology transfer

SALARY:
39.229,96€ per annum, payed in 14 instalments (2.802,14€ per month).

START DATE:
1st January 2014 at earliest. It may be possible to start later than this depending on the candidates' circumstances.

APPLICATION:
Please fill out the web application form (http://www.iiia.csic.es/coinvent/application/form/) with
- your personal data,
- a short statement, in English, of why you are interested in joining the COINVENT project at IIIA-CSIC,
- name and contact information of one or two persons who are willing to provide confidential references, and
- your complete CV in PDF format.


CLOSING DATE FOR APPLICATION: 15th September 2013.

For further information please contact Dr. Marco Schorlemmer (marco@iiia.csic.es).

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Postdoctoral Researcher Positionion "Big Data Analytics Systems and Algorithms at TU Berlin, Germany

Postdoctoral Research Position in "Big Data Analytics Systems" at TU Berlin


Area of Work
The Database Systems and Information Management Group (DIMA) at Technische
Universität Berlin is looking for a postdoctoral researcher in the area of
"big data analytics", for an initial funding period of one year, with the
option for extension for up to another three years upon successful renewal
of the Stratosphere project (www.stratosphere.eu), which will be decided
in July 2013.

The goal of Stratosphere is to jointly with researchers at other
institutions in Berlin, Europe, and worldwide conduct research and build
a large-scale data processor for executing complex data analysis programs
on huge, heterogeneous, high-velocity data sets. We plan to conduct
research that will lay the foundation for automatic optimization and
processing of stateful and iterative data analysis programs in a massively
parallel, fault-tolerant way. We will be researching a data programming
model based on functional programming, bringing together compiler
technology (Java, Scala, JVM) and parallel database systems and query
optimization. We will be looking at real-world use-cases in the area of
machine learning, information extraction, and data profiling. Our work
will be made available open-source. We intend to evaluate our research
jointly with other research institutions and companies in real-world
application settings.


Requirements:
Applicants should have completed a PhD in database systems, and have the
zeal to work in a leading research environment at the forefront of
technology innovation, interested in building systems and putting research
results into practical use. Ideally you have specialized in the area of
query processing or optimization, during your PhD, with additional skills
in programming languages and compilers, distributed systems, programming
languages design, parallel programming, or benchmarking and system
evaluation, documented by a strong publication record. A good knowledge of
Hadoop internals, the map/reduce programming model, as well as parallel
database implementation skills will be useful. Moreover, a good command of
skills in the areas of mathematics, statistics, as well as analytical and
project management skills will be useful. Proficiency in English and a
track record of strong research publications is a prerequisite. German is
not required, but basic German skills or intere!
st in learning the language will be helpful for day to day interactions.


About Berlin, TU Berlin, and the School of Electrical Engineering and
Computer Science (EECS):
Berlin, the capital of Germany, is a cosmopolitan, international city in
the heart of Europe, with a very large research and science ecosystem as
well as a very active and dynamic startup scene, in particular in the
information technology area.

TU Berlin is one of the leading science and engineering universities in
Germany. TU Berlin is also the German node of the ICT Labs of the European
Institute of Technology (EIT), the leading European science and technology
institution funded by the European Commission, focusing on teaching,
research, and innovation in the area of information and communication
technologies.

The EECS department at Technische University Berlin (TUB) is consistently
ranked among the top places in evaluations such as the CHE-ranking, with
several faculty members winning prestigious awards (e.g., scientific
awards like the Leibniz Award, Alexander-von Humboldt Professorship, or
even Emmys).

To apply please, submit an electronic application in the following form:
- motivation letter
- complete CV
- copies of certificates from all degrees (BSc, MSc, Ph.D.)
- list of publications, including three examples
- references with contact information (e-mail, phone)
in a SINGLE pdf to Volker Markl (prof@dima.tu-berlin.de) at Technische
Universität Berlin.

Please note that applications not following this format will not be
considered.

There is no fixed deadline for applying. Positions will be filled as soon
as possible.

Further information:
Research Group: http://www.dima.tu-berlin.de/
Project: https://www.stratosphere.eu/
TU Berlin: http://www.tu-berlin.de/menue/home/parameter/en/
EIT: http://www.eitictlabs.eu/
Berlin: http://www.berlin.de/en/
Volker Markl: http://www.user.tu-berlin.de/marklv/

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Three postdoc positions in social data management @ University of Bologna, Italy

We invite applications for three post-doctoral researcher positions in social data management on project IMPACT (http://impact.cs.unibo.it), funded by the Italian Ministry for Education, University and Research. The positions are at the Department of Computer Science, University of Bologna, Italy (http://www.informatica.unibo.it).

All three positions are for 12+12 months (the contract can be renewed after the first year by mutual agreement). Annual gross salary will be around 23.000 Euro  (please, notice that the amount is tax free (IRPEF exempt) and includes social security). Expected starting date: September 2013 (flexible). The main goal of the IMPACT research program is to develop methodologies and algorithms to store and efficiently retrieve information from Social Network Sites and to identify relevant structural and communication patterns. The project is hosted by the University of Bologna (http://www.eng.unibo.it), one of the oldest universities in the World in a beautiful "young" city offering lots of cultural initiatives (http://www.bolognawelcome.com/en/). The research positions are linked to the Department of Computer Science and Engineering (http://www.cse.unibo.it/en).

Requirements:

- PhD in Computer Science or related fields (Physics, Mathematics, Statistics).
- Experience in database systems and/or information retrieval and/or data mining.
- A good command of oral and written English (knowledge of Italian is not required).

Plus:

- Knowledge of complex/social networks.
- Experience in interdisciplinary research.

If interested and for any inquiries please contact Dr. Matteo Magnani (matteo.magnani@isti.cnr.it) asap.

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Open postdoc position on Artificial Intelligence in Education, London, UK

The London Knowledge Lab is looking for an outstanding researcher with
research interests in the areas of Artificial Intelligence in Education /
Intellligent Tutoring Systems / Educational Machine Learning / Learning
Analytics. The position will be for 2 years (that could be extended) and
start from June 2013 or soon thereafter. This is part of the EU FP7 project
iTalk2Learn (www.italk2learn.eu) that is developing an environment where
structured and exploratory activities for learning mathematics complement
each other while students are encouraged to interact via speech.

Deadline for applications: April 30th

We are looking for a highly motivated individual with PhD in Computer
Science, Artificial Intelligence, or a related field, research proficiency
proved by a strong research track record, and excellent programming skills.

The London Knowledge Lab is a multi-disciplinary, multi-national research
lab with a friendly atmosphere and a strong work ethic. With several
European and British projects going on, along with research seminars and
networking events, this is one of the best places to launch a research
career in line with our motto: "Exploring the future of learning with
digital technologies". On top of that, Greater London hosts half a dozen of
the best universities in Europe and some of the top IT companies are based
here.

More information, including how to apply online, at
http://tinyurl.com/crler3f.

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Postdoc position at Data-Intensive Systems Group, Aarhus University, Denmark

A postdoc position is available in the Data-Intensive Systems group at Aarhus University.

The Data-Intensive Systems group (http://cs.au.dk/research/areas/data-intensive-systems/) is a new and expanding research group in the Department of Computer Science. Since it was founded, in August 2010, the group has established a portfolio of research activities that currently includes 6 externally funded projects.

The department employs some 150 members of staff and has about 1000 students. The department is strong in both theoretical and experimental research, and it it is recognized internationally for its contribution within theory as well as the practice of computing. To encourage a multi-disciplinary attitude to research, no firm dividing lines are drawn between the various subjects, and there is lively interaction among subjects.

Aarhus University has in excess of 40,000 students. Among over 17,000 universities world-wide, it is ranked in the top 100 by several influential rankings. Aarhus is the second-largest city in Denmark and is situated by the sea in East Jutland. Aarhus is a "young" city due to its disproportionally large population of young inhabitants.

The postdoc position is at the level of research assistant professor. Successful applicants must demonstrate an ability to publish their work in top-ranked database or data mining research outlets. Key topics of interest include multidimensional databases, efficient data mining algorithms, (skyline) query processing and indexing.

The responsibilities include research on the above topics in collaboration with other staff and project partners, along with modest teaching and service tasks.

The position is initially for one year, but may be extended to two years based on mutual agreement. The annual salary is approximately EUR 60,000 (inclusive of pension contributions and pre taxes).

Applicants should send a letter of interest, a CV including list of publications, copies of two relevant publications, the names of two references, and the preferred starting date to Associate Professor Ira Assent (at ira@cs.au.dk). Applications will be considered as they are received and until the position is filled.

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4 full-time positions for Doctoral or Postdoctoral Researchers in Algorithmics and Network Science University of Konstanz, Germany

From http://www.uni-konstanz.de/stellenangebote/?cont=stellausw&seite=2013/067&id=1

The Algorithmics Group (Prof. Dr. Ulrik Brandes) in the Department of Computer and Information Science and the ERC Synergy Grant Project "NEXUS 1492" coordinated in the Faculty of Archaeology at the University of Leiden (Prof. dr. Corinne Hofman) invite applications for

 ----------------------------------------------------------------
 4 full-time positions for Doctoral or Postdoctoral Researchers
 in Algorithmics and Network Science (salary scale 13 TV-L)
 ----------------------------------------------------------------

from September 1, 2013, for up to four years. In principle, each position can be divided into two half-time positions.

"NEXUS 1492. New World Encounters in a Globalizing World" is a large-scale interdisciplinary project focusing on the impact of colonial encounters in the Caribbean. See www.nexus1492.eu for more information.

Requirements:
-------------

Applicants must hold a university degree (at least 4-years), preferably in computer science, statistics, or mathematics. A background in network modeling, graph algorithms, machine learning, or similar is desirable but others will be considered as well. A strong background in relevant methods is valued more than previous experience in network science.

Successful applicants will be based in Konstanz and conduct top-level international research on network reconstruction from sparse and heterogeneous data using probabilistic network models, combinatorial network analysis, and geo-referenced network visualization. They will work in an international and interdisciplinary team and will be given the opportunity to work toward a PhD.

The University of Konstanz encourages disabled persons to apply. They will be given preference if appropriately qualified (contact +49(0)7531/88–4895).

The University of Konstanz is an equal opportunity employer and tries to increase the number of women in research and teaching.

The University of Konstanz has been certified as a family-friendly institution by the Hertie Foundation and is committed to further the compatibility of work and family life.

The University of Konstanz offers a "Dual Career Couples Program". Information can be obtained from: www.uni-konstanz.de/dcc .

Please apply by sending your curriculum vitae, degree certificates, transcript of records, and a letter of motivation in a single pdf document to ulrik.brandes@uni-konstanz.de, citing reference number 2013/067. Applications received by May 2, 2013, will receive full consideration but the call remains open until all positions are filled.

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PostDoc / Ph.D. Positions at L3S Research Center, Germany

PostDoc / Ph.D. Positions at L3S Research Center, Germany

The L3S Research Center, Hannover, Germany, invites applications for

one Postdoc and two Ph.D. research positions

in the area of Large Scale Web Analytics and Information Retrieval. Your
work will focus on temporal information retrieval, exploration and
analytics. Investigating innovative and scalable solutions, you will be
utilizing and extending distributed platforms such as Hadoop, HBase and
Storm, and have the opportunity to shape and extend the computing cluster
infrastructure of L3S. Your research will connect to our work in the EU
funded projects ARCOMEM, ForgetIT and CUBRIK, and provide important input to
the development of large scale Web observatories in the context of our
WSTNet activities.

Your research will focus on topics in the following areas

* Distributed Crawling, Indexing and Analytics
* Distributed Algorithms and Data Processing
* Evolution-Aware Entity-Based Enrichment and Indexing
* Temporal Retrieval and Ranking

in a challenging and unique research environment.

You should possess good knowledge in one or several areas relevant for the
topics specified in this announcement. Good proficiency in English is
expected, as well as an outstanding M.Sc. or Ph.D. in computer science.
German language skills are useful, but not mandatory.
International experience during your studies or afterwards, as well as good
social and communication skills are helpful.

The salary amounts to German TV-L E13/E14, which is roughly 40.000 to 50.000
Euro gross income per year.

Please submit your application including the usual documents as well as a
list of references, preferrably by email, to

Prof. Dr. Wolfgang Nejdl
L3S Research Center
Appelstrasse 4
30167 Hannover, Germany
http://www.L3S.de/
http://www.kbs.uni-hannover.de/~nejdl/
E-Mail: nejdl@L3S.de

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Postdoctoral position - Big Data Engine for Case-Based Reasoning, Paris, France

Postdoctoral research position 

Big Data engine for distributed case-based reasoning

Ecole Centrale Paris

MOCAS project is a dual innovation project, involving KIOLIS Company and MAS laboratory at Ecole Centrale Paris. It aims at developing a "big data" engine for distributed case-based reasoning exploiting the association of structured and unstructured data. CBR is a problem-solving method and has been widely used in the fields of information retrieval and decision support systems. It is based on the concept of "case" which consists of a problem description and its solution. The main idea under CBR mechanism consists in storing experiences as cases and problem-solving processes as instances of cases. When a new problem is encountered, the system uses the relevant past stored cases to interpret or to solve it.

However, in the majority of research proposals, cases structure is specified by static features and the process of case retrieval is performed on one single data source. In order to overcome scalability issues in the case of multiple heterogeneous data sources, the use of distributed solutions for case retrieval, adaptation and storage becomes a necessity. In addition, current works are concerned with the dynamic representation of cases using semantic web technologies (ie. ontologies).

The main objective of this project is to propose a distributed approach of case-based reasoning that integrates a dynamic ontological representation of cases in order to manage large collections of data. In addition, MOCAS use targeted information extraction techniques to fully exploit useful knowledge embedded in textual data for decision-making.

The person hired will be involved in the following tasks:

- Elaborate a state of the art of distributed systems (architecture peer-to-peer, distributed data processing as Map / Reduce) suitable for case-based reasoning systems

- Design a dynamic representation of cases using ontologies

- Implement a distributed CBR engine for heterogeneous data.

Competencies and profile

Education, experience

Candidates should have a PhD in Computer Science or Applied Mathematics. A strong academic record, excellent analytical skills and a clear aptitude for autonomous, creative research will be priority selection criteria.

Technical skills

- Solid background in Computer Science, knowledge of machine learning techniques, case-based reasoning and semantic web technologies.

- Excellent programming skills (Java)

- Good learning and adaptation capabilities.

- Good communication skills in English. French is a plus.

Environment and Location

Ecole Centrale Paris, an elite French Institution, was founded in 1829. It was the first major engineering school to train engineers in the early days of industry. Today the primary vocation of ECP is still to train scientific leaders, innovators and managers for industry, a role which gives it a unique position among the major French engineering schools.

The Business Intelligence team, part of the MAS Laboratory (Mathematics Applied to Systems), aims at  inventing the future of Business Intelligence, dealing with high-level semantics, reasoning about unstructured content and structured data, and providing a simplified access and a better understanding of BI tools. See our website for more details: http://bi.mas.ecp.fr/.

Duration:                               12 months

Start date:                              as soon as possible

Location:                                France (near Paris)

Annual gross salary:             around 33 000 Euros including health insurance

How to apply

- A cover letter stating your motivation.

- A detailed CV including your PhD subject and a complete list of publications

- Recommendation letters from leaders in academia or the industry are a plus

Applications must be sent to:

Prof. Marie-Aude AUFAURE

Ecole Centrale Paris - MAS Laboratory

Grande Voie des Vignes

92 295 Chatenay-Malabry Cedex

France

Email : Marie-Aude.Aufaure@ecp.fr

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Postdoctoral Positions at Microsoft Research, New York City, US

Microsoft Research NYC (http://research.microsoft.com/newyork) seeks outstanding applicants for 2-year postdoctoral researcher positions. In particular, we welcome applicants with a strong academic record in one of the following areas:

* Computational social science: http://research.microsoft.com/cssnyc

* Online experimental social science: http://research.microsoft.com/oess_nyc

* Algorithmic economics and market design: http://research.microsoft.com/algorithmic-economics/

* Machine learning: http://research.microsoft.com/mlnyc/

We will also consider applicants in other focus areas of the lab, including information retrieval, and behavioral & empirical economics. Additional information about these areas is included below. Please submit all application materials by January 11, 2013.

COMPUTATIONAL SOCIAL SCIENCE

http://research.microsoft.com/cssnyc

With an increasing amount of data on every aspect of our daily activities -- from what we buy, to where we travel, to who we know -- we are able to measure human behavior with precision largely thought impossible just a decade ago. Lying at the intersection of computer science, statistics and the social sciences, the emerging field of computational social science uses large-scale demographic, behavioral and network data to address longstanding questions in sociology, economics, politics, and beyond. We seek postdoc applicants with a diverse set of skills, including experience with large-scale data, scalable statistical and machine learning methods, and knowledge of a substantive social science field, such as sociology, economics, psychology, political science, or marketing.

ONLINE EXPERIMENTAL SOCIAL SCIENCE

http://research.microsoft.com/oess_nyc

Online experimental social science involves using the web, including crowdsourcing platforms such as Amazon's Mechanical Turk, to study human behavior in "virtual lab" environments.  Among other topics, virtual labs have been used to study the relationship  between financial incentives and performance, the honesty of online workers, advertising impact as a function of exposure time,  the implicit cost of "bad ads," the testing of graphical user interfaces eliciting probabilistic information and also the relationship between network structure and social dynamics, related to social phenomena such as cooperation, learning, and collective problem solving. We seek postdoc applicants with a diverse mix of skills, including awareness of the theoretical and experimental  social science literature, and experience with experimental design, as well as demonstrated statistical modeling and programming expertise. Specific experience running experiments on Amazon's Mechanical Turk or related crowdsourcing websites, as well as managing virtual participant pools is also desirable, as is evidence of UI design ability.

ALGORITHMIC ECONOMICS AND MARKET DESIGN

http://research.microsoft.com/algorithmic-economics/

Market design, the engineering arm of economics, benefits from an understanding of computation: complexity, algorithms, engineering practice, and data. Conversely, computer science in a networked world benefits from a solid foundation in economics: incentives and game theory. Scientists with hybrid expertise are crucial as social systems of all types move to electronic platforms, as people increasingly rely on programmatic trading aids, as market designers rely more on equilibrium simulations, and as optimization and machine learning algorithms become part of the inner loop of social and economic mechanisms. We seek applicants who embody a diverse mix of skills, including a background in computer science (e.g., artificial intelligence or theory) or related field, and knowledge of the theoretical and experimental economics literature. Experience building prototype systems, and a comfort level with modern programming paradigms (e.g., web programming and map-reduce) are also desirable.

MACHINE LEARNING

http://research.microsoft.com/mlnyc/

Machine learning is the discipline of designing efficient algorithms for making accurate predictions and optimal decisions in the face of uncertainty. It combines tools and techniques from computer science, signal processing, statistics and optimization. Microsoft offers a unique opportunity to work with extremely diverse data sources, both big and small, while also offering a very stimulating environment for cutting-edge theoretical research. We seek postdoc applicants who have demonstrated ability to do independent research, have a strong publication record at top research venues and thrive in a multidisciplinary environment.

Duncan Watts

Principal Researcher

Microsoft Research NYC

102 Madison Ave, 12^th Floor

New York, NY 10016

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Postdoc Position in Spatio-Temporal Data Mining, Estonia

Postdoc Position in Spatio-Temporal Data Mining Software Technology and
Applications Competence Centre

The Software Technology and Applications Competence Centre
(http://www.stacc.ee) is a research organisation dedicated to conducting
innovative industry-driven research in the fields of software engineering
and data mining. The centre brings together a consortium of nine companies
and two universities: University of Tartu and Tallinn University of
Technology.

The centre is soliciting applications for a Postdoctoral Researcher position
in the field of spatio-temporal data mining. The successful candidate will
work in a project involving Reach-U (www.reach-u.com), a rapidly growing
technology provider specialized in location-based services. The aim of the
project is to develop techniques for real-time mining of streams of mobile
positioning data produced at rates of hundreds or thousands of events per
second.

The successful candidate will have a PhD in a relevant field and previous
research experience in at least one the following topic areas:
spatio-temporal data mining, moving objects databases or location-based
services. Experience in industry-linked research projects and willingness to
contribute to industry transfer of research outputs are highly desirable.

The position will be fixed-term for two years, renewable depending on the
success of the project. The gross monthly salary range is EUR 2500 to 3000
depending on experience and track record. The starting date is negotiable
but no later than mid-2013. The position will be based in Tartu, Estonia.

Applications should include a CV, list of publications and a statement
outlining the candidate's previous and/or ongoing research experience in the
topic areas cited above. Applications and enquiries should be submitted by
e-mail to jobs [Št] stacc.ee with the subject line "Postdoc Position in
Spatio-Temporal Data Mining". Enquiries can be directed to jaak dot vilo
[Št] ut.ee

For further information, visit http://www.stacc.ee/jobs

The deadline for applications is 15 January 2013.

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Postdoc Position in Analysis and Modeling of Social Networks, Bloomington, Indiana

Postdoctoral Fellow in Analysis and Modeling of Social Networks
http://cnets.indiana.edu/news/postdoc-social-networks-2013

The Center for Complex Networks and Systems Research
(CNetS.indiana.edu) at Indiana University, Bloomington has an open
postdoctoral position to study how ideas propagate through complex
online social networks. The position is funded by a McDonnell
Foundation's grant in Complex Systems (www.jsmf.org/grants/2011022/).
The appointment starts as early as possible after January 2013 for one
year and is renewable for up to 2 additional years. The salary is
competitive and benefits are generous.

The postdoc will join a dynamic and interdisciplinary team that
includes computer, physical, and cognitive scientists. The postdoc
will work with PIs Filippo Menczer and Alessandro Flammini, other
postdocs, and several PhD students on analysis and modeling of social
media data. Areas of focus will include information diffusion
patterns, epidemic models for the spread of ideas, interactions
between network traffic and structure dynamics, and agent-based models
to explain the emergence of viral bursts of attention. Domains of
study will include politics, scientific knowledge, and world events.
Go to the grant page or cnets.indiana.edu/groups/nan/truthy for
further details on the team and project.

The ideal candidate will have a PhD in computing or physical sciences;
a strong background in analysis and modeling of complex systems and
networks; and solid programming skills necessary to handle big data
and develop large scale simulations.

To apply, send a CV and names and emails of three references by email
to <tgholbro@indiana.edu> or by mail to CNetS, 919 E 10th Street,
Bloomington, IN 47408, USA. Applications received by 15 December 2012
will receive full consideration, but applications will be considered
until the position is filled.

Indiana University is an Equal Opportunity/Affirmative Action
employer. Applications from women and minorities are strongly
encouraged. IU Bloomington is vitally interested in the needs of Dual
Career couples.

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Postdoctoral Position @ Mobile Cloud Lab, University of Tartu

The Mobile Cloud Lab at Institute of Computer Science, University of Tartu (UT), is inviting applications for a Postdoctoral position for two years to undertake research in the mobile computing and/or cloud computing domains. UT is in the world's top 400 universities (THE ranking) and belongs to the top 1% of the world's most-cited universities and research institutions in several fields, including engineering (according to ISI Web of Science). UT's Institute of Computer Science has over 600 students and is a key research partner in the Estonian Center of Excellence in Computer Science and a number of EU-funded projects.

The Mobile Cloud Lab conducts research and teaching at the intersection of the mobile computing and cloud computing domains. Our research topics include cloud computing, large-scale data analysis, mobile cloud, mobile web services, sensor networks and cloud migration.

The successful applicant for the position should have:
• A PhD degree in Computer Science
• A strong research track record and international publication record
• Experience in collaborative research with external partners
• Excellent communication skills and proficiency in English
• Inclination to take some teaching load

Please send your curriculum vitae and statement of interest in the proposed research topics to Assoc. Prof. Dr. Satish Srirama (email: srirama@ut.ee).

Applications will be accepted until 15th January 2013. Successful applicants are preferred to start in February/March 2013, but can be negotiated. Depending on the qualifications and track record of the candidate, the gross monthly salary is up to 2500€, which is competitive against the sectoral salaries and the living cost in Estonia. The employment arrangement includes access to the Estonian public healthcare system.

All the information relevant for an incoming researcher to Estonia is available at: http://euraxess.ee/incoming-researchers/road-map-estonia/

Assoc. Prof. Dr. Satish Srirama
Head of Mobile Cloud Lab
Institute of Computer Science, University of Tartu J Liivi 2 – 311, Tartu 50409, Estonia satish.srirama [at] ut.ee http://mc.cs.ut.ee/mcsite/jobs

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PostDoc 3DGeoWeb (eHumanities / Crowdsouring 3D), Heidelberg, Germany

Chair of GIScience
Department of Geography · Berliner Str. 48 · 69120 Heidelberg · Germany
Prof. Dr. Alexander Zipf zipf@uni-heidelberg.de http://giscience.uni-hd.de

Interdisciplinary Center for Scientific Computing (IWR)

Heidelberg Center for the Environment (HCE) Postion available PostDoc
Geoinformatics Web-based 3D visualisation and geo-analysis University of
Heidelberg

A PostDoc position is available at the GIScience Research Group at the
Department of Geography at Heidelberg University.
http://giscience.uni-hd.de. The candidate shall contribute to research
related to Web-based 3D visualization and analysis of high volume 3D data of
landscapes, cities and building complexes.
Further we welcome contributions to our work on generating & visualization
3D city & landscape models from crowdsourced information such as OSM-3D.org
& OpenBuildingModels.uni-hd.de.

The position is funded within the project MayaArch3D within the eHumanities
programme of the german ministry of research and education being carried out
together with archeologists from the German Institute of Archeology dealing
with virtual modeling the Maya site in Copan Honduras.

Relevant topics include

- Web-based 3D visualisation and geo-analysis with WebGL
http://webgl.uni-hd.de
- Interoperable 3D Web-Visualization through the OpenGIS Web 3D Service
(W3DS) (Java)
- 3D Modeling of archeological sites
- Crowdsouring 3D

We offer an attractive job in an interdisciplinary dynamic team with
excellent possibilities for research and further qualification. The Chair of
GIScience is also member in the Interdisciplinary Center for Scientific
Computing (IWR) and funding member of the Heidelberg Center for the
Environment (HCE).

We expect a top rated university deegree and PhD in either Geoinformatics,
Computer Science or Geography, as well as research experience and know how
in Geoinformatics, paired with the ability for independent scientific work
and aquiring third party funds, as well as teamworkp.

Please send our application including (cv, grades, papers etc.) to Prof. A.
Zipf zipf@uni-heidelberg.de The project is initially funded for 3 years.
Extensions depend on the availability of future funding.
Deadline for applications: December 20th 2012. The position is to be filled
as soon as possible.

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