NICTA (National ICT Australia Ltd) is Australia’s Information and
Communications Technology Research Centre of Excellence.

Applications are invited for a researcher position in machine
learning, with a particular emphasis on learning dynamic traffic
networks. The researcher will be designing and developing machine
learning models and algorithms that assist building intelligent
transportation systems (ITS) for solving real world traffic problems.
This position is also a part of significant research projects in
NICTA's infrastructure, transport and logistics business theme.

Your primary responsibility will be to build your research reputation
by publishing high quality papers in world-leading venues, while
participating to the design and implementation of
machine-learning-based ITS models, with the aim of improving road
traffic efficiency, providing decision support, forecasting traffic
patterns, ensuring road safety etc. Methods used will include, but not
limited to, graph theory, matrix/tensor factorisation, collaborative
filtering, conditional random fields, Bayesian networks, causal
inference, anomaly detection.  You will be expected to work as part of
an inter-disciplinary team and to collaborate with university
researchers as well as external groups. Other key responsibilities
will be to provide and contribute to the emerging machine learning for
ITS research projects in NICTA. Collaboration with industry project
partners as appropriate and within the scope of activities of the
NICTA Australian Technology Park Laboratory will be involved.

To be successful in this role you will hold a PhD in machine learning,
data mining, statistics or other related areas. Applicants with
experience in working with time-evolving graphs/networks, or other
spatial-temporal data, will be preferred.

Closing date: 17 February 2013

To apply for this role please visit
https://nicta.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jobid=145&company_id=16182&version=1&source=ONLINE&JobOwner=993272&level=levelid1&levelid1=2770&parent=Research&startflag=2

IBM Research - India lab located in New Delhi and Bengaluru, India, is one of IBM's eight research laboratories. Its mission is to conduct research in coordination with other IBM business units to deliver innovation to IBM product and services offerings.

IBM Research - India seeks both fresh and experienced applicants with a Ph.D. in CS, EE, or related areas with an exceptional track record as demonstrated by publications or patents. Candidates with core expertise in the areas of Information Management, particularly, in Information Integration, Business Intelligence, Database Systems, Data/Text Mining, Information Retrieval, Distributed Databases, Large-scale Analytics, Social Media Analytics, and Big Data platforms are strongly encouraged to apply. Candidates are expected with expertise in developing large-scale information management applications in verticals such as finance, wireless and telecom services, and customer relationship management. Strong passion for applied research and good teaming skills are essential.

For information about ongoing projects at IRL please visit http://www.research.ibm.com/irl

Interested candidates should send their resume to Mukesh Mohania (mkmukesh@in.ibm.com)

The School of Computer Science at McGill University invites applications for a tenure-track position at the assistant professor level in the area of data mining with particular emphasis on big data, text analysis and unstructured data. Expected start date is August, 1st, 2013.

The School of Computer Science offers a collegial environment with opportunities for interaction with world class researchers in areas including machine learning, distributed systems, embedded systems, pervasive systems and database systems, bioinformatics, software analysis, computer games development, robotics, vision, and many more.
For further information on the School, see: http://www.cs.mcgill.ca.

Complete applications, including a curriculum vitae, a list of publications with copies of at least two sample reprints, a research statement as well as a teaching statement, and the names and email addresses of three references should be sent as one or more PDF files to datamining@cs.mcgill.ca.

Applications will be reviewed as soon as they are received.  Applications received before January 18th, 2013 are assured full consideration.

McGill University is committed to equity in employment and diversity.  It welcomes applications from indigenous peoples, visible minorities, ethnic minorities, persons with disabilities, women, persons of minority sexual orientations and gender identities and others who may contribute to further diversification.  All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, priority will be given to Canadian citizens and permanent residents of Canada.

Data Insight team in Nokia CTO Advanced Engineering is looking for
data intensive-computing & distributed systems, data mining & machine
learning, and visual analytics & human-data interfaces researchers
with passion to transform research from interesting ideas and
promising results into delightful solutions and useful systems in
practice.

The team focus on the challenges and opportunities in Nokia's data
landscape, conducting research on processes and techniques to derive
insights from data and to bring the value of the data to the end
users. The approach combines the theoretical foundations of data
analysis and computer science, real-world data mining, interactive
visualizations, and hands-on skills on rapid development of scalable
systems with practical relevance.

The team are an interdisciplinary, agile team of machine learning,
distributed systems and information visualization researchers, with a
just-do-it attitude. We study, design and realize scalable solutions
for data understanding and utilization. We strive extending ourselves
to new topics and eagerly sharing knowledge with colleagues whose core
competencies might be in other topics.

To apply, please send your resume to datainsight@nokiaresearch.com


Visual Analytics and Human-Data Interfaces

You will be responsible for transforming complex datasets and
computational models into understandable and engaging visualizations
and other representations. You will be pushing traditional limits of
information visualization and data user interfaces by producing unique
representations of unique data sources together with the team. In many
cases that requires also theoretical insights into mathematical
properties of high-dimensional and otherwise complex data spaces. The
position requires the ability to deeply understand multi-faceted and
multi-dimensional information, as well as the creativity that is
required to condense and illustrate the most relevant aspects of the
models and the underlying data.

As your visualizations will work as a communication medium and as a
way to understand complex phenomena, you need to know how to convert
seemingly chaotic information into an easily understandable and
intuitive form. You have a solid sense of graphical aesthetics
including attention to navigation, layout, color and typography. You
devote meticulous attention to user experience and goals, and
test/refine consistently.

You enthusiastically implement even your most far-fetched ideas in
practice, thus strong technical expertise in visualization tools and
programming languages is a must. You are extremely comfortable
expressing yourself with modern Web technologies such as HTML5. We
value experience producing customer-facing web applications. Expertise
in other data analysis frameworks and programming languages such as
Python, Haskell and R is highly desirable. You have a strong passion
for designing interfaces, from inception to completion if necessary.


Data Mining and Machine learning

As a data mining and machine learning expert you will be responsible
for transforming terabytes of data into actionable models and
descriptive knowledge. Your work includes gathering, processing and
analyzing large dynamic real-world data sources, building
computational and statistical models, discovering general mechanisms
and best practices for data analysis, developing novel and useful
machine learning and data mining techniques, providing fresh
viewpoints to the foundations of data analysis, impacting the research
communities around data and computing, and making the world a better
place.

You have extensive expertise in both the theory and practice of
machine learning and data mining. You are familiar with the different
paradigms of data analysis, such as statistical learning theory,
Bayesian statistics, algorithmic information theory, data mining,
inductive inference and so on, and you understand the conceptual and
practical strengths and weaknesses in them. You are well-versed with
various machine learning and data mining methods, being able to decide
what method would be suitable for the task at hand, how to use it and
why that makes sense, and to extend the existing approaches to any new
situations as needed.

You enjoy the art of programming. You can express your ideas fluently
in a variety of programming languages, such as Python, Haskell,
Erlang, C and R. You can solve problems with large volumes of data and
you know how to cope with computationally hard problems. You are
motivated to take your research beyond data mining and machine
learning, and are excited by the prospect of creating usable prototype
systems. You are aware of various existing tools and systems for data
processing and are willing to re-use solutions engineered by others.


Data-Intensive Computing and Distributed Systems

As an expert in data-intensive systems, you will be responsible for
designing and implementing demanding, distributed server-side software
for various tasks related to large-scale data processing and web
services, ranging from massive offline processing to the real-time
construction of predictive models. You have a deep understanding of
distributed computing and scalable data management systems. You are
willing to rethink the current distributed computing primitives and
abstractions for data-driven systems, and evaluate the practical
benefits of new ones. You use sound engineering techniques like
property and regression testing.

You look forward to utilizing hundreds of servers in parallel using
techniques like Map/Reduce and enjoy playing with terabytes of
data. You are passionate about programming, have a developed sense of
aesthetics, excellent coding skills and deep knowledge on programming
paradigms and languages, such as Python, Erlang, Haskell, C and
Ocaml. Contributions to Open Source projects, especially in the field
of scalable systems, are a big plus. As you will be working with
data-intensive systems research projects, knowledge of machine
learning and data mining methods is very useful.

You have a solid understanding of algorithmics, so you are able to
help other researchers to implement scalable and distributed versions
of various methods in large-scale data processing. You are familiar
with standard web techniques, both on the client and the server
side. Deep experience with Linux and other unices, as well as core
internetworking technologies is a must. You know how to build a system
that can handle 10K HTTP requests per second and achieves five-nines
availability, or a terabyte-scale storage system that can store and
access 10^9 data items efficiently without using a relational
database. You see beauty in simplicity.

The University of Kansas Department of Electrical Engineering and Computer Science (EECS) is seeking applications for a tenure track faculty position with a focus on broadly defined computational life sciences research. The candidates are expected to have expertise in one or more of the following areas: machine learning, data mining, statistical learning, distributed databases, managing and processing large amounts of data; all focused on computational life science problems. Other areas of computer science focused on computational life science problems may be considered. To apply, go to http://jobs.ku.edu and search for faculty position 00003990.

Questions should be sent to Dr. Luke Huan at jhuan@ku.edu.

Review starts on Dec 1, 2012 and continues until the position is filled.

CREATE-NET is seeking a well motivated Junior Researcher in
the area of mobile data analytics. This position requires a
good balance of both theoretical and technical/hands-on
experience in the design and implementation of data analytics
solution for mobile systems. With specific respect to the main
tasks assigned to the candidate, she/he will be involved in a
European project for the development of a platform for
human-centric urban mobility. In the foreseen scenario, data
are collected from mobile networks/devices and mined to
extract relevant knowledge and recurrent mobility patterns.

The main duties of the candidate will be to design, implement
and validate algorithmic solutions for the analysis of
mobility traces. Such analysis will be used to to extract
relevant knowledge of the mobility patterns of users in an
urban setting, and to design predictive models of urban mobility.

In this respect the candidate should be able to interface both
with the research team at CREATE-NET and with the partners of
the reference project and integrate her/his effort into the
workflow. A candidate with positive bias towards developing
her/his research skills and able to show positive attitude
towards implementation of developed solutions will indeed
be preferred.

The ideal candidate should in particular be able to work
autonomously in a fast paced, ever evolving technological
environment. Successful candidates must be highly
self-motivated individuals, who seek to establish a dynamic
and creative team environment in which problem solving is
complemented with modern creative and innovative approaches.
Applicants should have a Master degree (or equivalent) in
computing or other related disciplines (in particular in data
mining), and a proven experience in software development.

Job responsibilities include:
1. design and implementation of algorithmic solutions for
mobility mining in urban settings;
2. performance evaluation of the proposed solutions by
simulation or analysis;
3. implementation of the designed algorithmic solutions into a
fully functional system;
4. interacting with the project partners in order to integrate
modules developed and tested in the final project prototype.

Technical skills:
Fundamentals of: algorithms, data mining
Java: Spring, Hibernate, JDBC, SQL, Servlet, JSP, Web Services,
REST (C/C++ programming) Working experience and knowledge of
Object-Oriented programming familiarity with development environments
(such as Eclipse, ANT, JUnit, Doxygen, log4j)
and versioning systems (SVN, CVS).

Organization skills:
The following organizational skills are requested for this position:
1. autonomous thinking and problem solving skills;
2. good communication skills (both oral/written);
3. prioritization, time management skills and capability to
adapt to dynamic environments;
4. ability to work hands-on and with little supervision;

Working place: Trento, top ranked Italian city for quality of
life and known for hosting a large number of cutting-edge
worldwide recognized research institutions.

Languages: Excellent command of the English language is essential;
knowledge of the Italian language is considered as a plus.

Working schedule: Full-Time

How to apply: Please send your resume/CV and academic transcript
in English to careers@create-net.org, specifying in the email subject:
"JUNIOR RESEARCHER IN MOBILE DATA ANALYTICS - DBW".
Only applications submitted in English will be taken into consideration.

Important: due to Italian Privacy Protection Law n.196/03
any resume not mentioning explicitly the following wording:
"I authorize the use of my personal data in accordance with
Italian Privacy Protection Law (30/06/2003, n.196/03)" will be
automatically deleted from our database and consequently not
taken into consideration.

Director of the Center for Information Based Management

The Milgard School of Business at the University of Washington Tacoma invites applications for a full-time, tenured associate professor or professor and director of the Center for Information Based Management, focused on data-analytics. The position requires an earned doctorate in business or a related discipline and could begin as soon as January 2013.

The successful candidate will demonstrate successful management and leadership capabilities, strong industry involvement, and commitment to teaching and research. Applicants should have experience in managing complex data analytic projects as well as the ability to successfully teach in one or more of the following fields: marketing, statistics, operations research/management, data science, and information systems/technology.

Core responsibilities of the position will be to establish, manage, and direct the Center for Information Based Management; successfully teach undergraduate and graduate level courses; and actively participate in a diverse, evolving university community. The director is responsible for providing intellectual leadership, building and sustaining a sense of community and intellectual engagement among the center's stakeholders, seeking external funding, and managing the center?s activities.

One of three campuses of the University of Washington, UW Tacoma is an urban-serving university that shares the University of Washington?s commitment to high quality teaching and research and is committed to participating in the educational, cultural, and economic development of the South Puget Sound. Located largely in renovated buildings in Tacoma?s downtown warehouse district, UW Tacoma serves a diverse population of South Puget Sound students. For more information about UW Tacoma, see our website at http://www.tacoma.washington.edu.

The Milgard School of Business, named in recognition of a multi-million dollar gift from the Milgard family, enjoys strong relationships with businesses and the South Puget Sound community. The AACSB-accredited Milgard School currently has approximately 500 students in its undergraduate and MBA programs. Additional information about the Milgard School of Business can be found at: http://www.tacoma.washington.edu/business.

To apply, please send a letter of application, a curriculum vita, and evidence of teaching effectiveness. Screening of applications will begin immediately. Candidates who advance beyond initial screening will be asked to provide three letters of reference to complete their application packages. Electronic submission of application materials is required. Please submit your application materials to: msbhires@u.washington.edu.

The University of Alabama at Birmingham
Department of Computer and Information Sciences
Assistant Professor

The Department of Computer & Information Sciences at the University of Alabama at Birmingham (UAB) is seeking candidates for a tenure-track/tenure-earning faculty position at the Assistant Professor rank beginning August 1 2013.  For additional information about the department please visit http://www.cis.uab.edu .

Candidates with leading expertise in Machine Learning and Data Mining with secondary interests in one or more of the following areas are sought: Security, AI, graphics and visualization, computer forensics, software engineering, programming languages, and/or high performance computing.  The successful candidate must be able to participate effectively in multidisciplinary research with scientists in Computer and Information Sciences and with other researchers for advancing Fundamental Computer Science Research at UAB, including joint scientific studies, co-advising of students, and funding.  Allied expertise in one or more areas is highly desirable.  UAB has made significant commitment to both research and teaching in Computer Science and specifically in Machine Learning and Data Mining.  Candidates must consequently have strong teaching credentials as well as research credentials.  Experience and success in funded research is an added plus. UAB is a Carnegie Research Extensive University.

Computer and Information Sciences at UAB offers BS, MS, and PhD degrees.  The Department has a strong research focus, excellence in teaching, and a strong commitment to outreach.  With over 340 undergraduate students, it has among the largest ABET accredited programs in Alabama.  Currently, the department is graduating 4-5 PhD students per year, with the goal of growing this significantly over the next several years.   Research expenditures are growing significantly, and the Department has a leading role in a University-Wide Research Center in CyberCrime, Security, and Computer Forensics.  Collaborations with UAB's medical enterprise are strong and growing, with opportunities for faculty to participate in interdisciplinary R&D.

A Ph.D. in Computer Science or a closely related field is required.  Applications should include a complete curriculum vita with a publication list, a statement of future research plans, a statement on teaching experience and philosophy, and minimally two letters of reference with at least one letter addressing teaching experience and ability. Applications and all other materials should be submitted via email (strongly preferred, use PDF format for all documents) to facappML@cis.uab.edu or via regular mail to:

      Search Committee
      Department of Computer and Information Sciences
      115A Campbell Hall
      1300 University Blvd
      Birmingham, AL 35294-1170

Review and interviewing of candidates will begin on October 15, 2012 and continue until the position is filled.

PhD graduates with strong publication records are to be recruited, to conduct research on problems in one or more of the following areas:

(1) Biological image analysis
(2) Pattern finding and analysis in large data sets arising in biology and drug discovery
(3) Data mining and machine learning in biology
(4) Computational analysis of large and small molecules
(5) Biological network analysis (e.g. ecological networks, PPI-networks)

The salary will be competitive and based on qualifications. The initial appointment is for one year and may be extended based on performance and funding.

To apply, send a CV, letter of intent, and 3 selected publications via e-mail (as PDF attachments) to rahul@sfsu.edu. Also have three letters of recommendation sent to the same e-mail address. Review of applications will begin immediately and will be continued until the position is filled.

                   A TENURE TRACK RESEARCH POSITION

             in the Area of Data and Knowledge Management
    at Bruno Kessler Foundation, Center for Information Technology
                      Opening date: 26 July 2012
                    Closing date: 15 October 2012


For additional info please contact
Luciano Serafini
serafini@fbk.eu

Official annaouncement is avaliable
<http://risorseumane.fbk.eu/it/node/234>

The Bruno Kessler Foundation (FBK)<http://www.fbk.eu> conducts
research activities in Information Technology, Materials and
Microsystems, Theoretical Physics, Mathematics, Italian-Germanic
historical studies, Religious studies and International Relations.
Through its network, it also develops research in the fields of
international relationships, conflict causes and effects, European
economic institutions, behavioral economics and evaluative assessment
of public policies.

WORKPLACE DESCRIPTION

FBK ICT<http://cit.fbk.eu> focuses research on key areas of
information technology with the aim to provide a practical and
experimental evidence of its added value for the market, cultural
growth, and social welfare. Our research aims to push innovation
through the construction of a networked system that involves
companies, other research institutions, universities, public bodies,
and end-users. FBK ICT research activities focus on three main areas:
Engineering, Content and Interaction.

The FBK ICT Center is organized in Research Units. The teams are
international and include senior and young researchers, postdocs, PhD
students, project managers, system architects and programmers coming
from different countries. Research Units are strongly encouraged
towards collaborations and projects that can exploit synergies among
different competences.

The Data and Knowledge management Research Unit<http://dkm.fbk.eu> of
FBK is offers a tenure track position for a senior researcher in the
area of machine learning and knowledge representation and reasoning.
More information about the DKM unit is available at
<http://dkm.fbk.eu>

JOB DESCRIPTION

The candidate is expected to contribute original research results
inside leading edge international projects. The aim is to advance the
state-of-the-art in designing algorithms that combines scalable
logical reasoning with statistical inference and inductive reasoning
from large mount of data. The proposed solutions should be applicable
in practical domains. The candidate should:

 * contribute to the research of the DKM unit by drawing ideas and
   contributions from different areas, such as machine learning, semantic
   web, logics for knowledge representation, reasoning algorithms,
   statistical inference and inductive reasoning;
 * contribute to develop and exploits the research results within
   leading edges international research and industrial projects;
 * contribute to improve the connection of DKM and FBK in general with
   the international scientific communities of the semantic web,
   knowledge engineering and representation, automated reasoning and
   machine learning.

JOB REQUIREMENTS

 * PhD degree
 * Experience in knowledge representation and reasoning
 * Experience in machine learning and inductive reasoning
 * Skills in experimental work and development of algorithms
 * Experience in creating and maintaining international scientific
   contacts
 * Experience in research international fund raising
 * Experience in coordinating (small) research groups
 * Experience in supervising master and Ph.D students
 * Oral and written proficiency in English
 * Strong team work attitude
 * Ability to work and deliver in funded research projects

ADDITIONAL REQUIREMENTS

 * PhD related to the topics of this profile
 * Experience in leading technology transfer projects
 * Ability to work in a collaborative environment, with a strong
   commitment to achieve assigned objectives and to realize practical
   applications
 * Soft skill (communication, teambuilding, problem solving etc)
 * Preference will be given to candidates with a basic knowledge of
   the Italian language.
 * Due to FBK's attempt to promote equal opportunity and gender
   balance, in case of equal applications, female candidates will be
   given preference.

EMPLOYMENT

Type of contract: Tenure track position (max 3 years)
Work time: full time 38h per week
Number of position: 1
Gross salary: from 41.000 to 49.000 ??? per year (depending on the candidate experience)
Benefit: 28 vacation days per year, flexi-time, company subsidized cafeteria or
         meal vouchers, internal car park, welcome office support for visa,
         formalities, accommodation, social security, etc., reductions on bank
         accounts, public transportation, sport, accommodation and language
         courses fees.
Start date: end 2012 beginning 2013
Place: Via Sommarive 18, 38123, Trento (Italy)

APPLICATION

To apply online, please send your detailed CV (.pdf format) including
a list of publications, statement of research interests and contact
information for at least two references. Please send your curriculum
with permission of the Personal data Protection Code, Legislative
Decree no. 196/2003 June 2003. Applications must be sent to
jobs@fbk.eu<mailto:jobs@fbk.eu>. Emails should have the following
reference code TenureTrackICT_2012DKM

Application deadline: 15 October 2012

Those candidates who will pass the preliminary curricula screening
will be contacted shortly for an interview. Those applicants who will
not be selected, will be notified of the exclusion at the end of the
selection process.

Please note that FBK may contact those candidates admitted to
evaluation within a period of 6 months for selection process of
similar vacancies. For transparency purposes, the name of the selected
candidate, if he or she has accepted the position, will be published
on the FBK website at the bottom of the selection notice.