PhD in Forecasting & Data Mining at Lancaster U. Management School

Lancaster University Management School
www.lums.lancs.ac.uk
Department of Management Science & Centre for Forecasting

Research Assistant & Part-time PhD
£24,588-£28,839 pro rata
Forecasting & Data Mining with Neural Networks

Applications are invited for a four-year part-time PhD student & Research Assistant position, funded by the Research Centre for Forecasting, Department of Management Science, Lancaster University Management School, to commence January 2008.

Applicants will be expected to work 3 days per week for the Lanacster Centre for Forecasting under the supervision of Dr. Sven F. Crone, and will be paid pro rata. Applicants will have the opportunity to pursue a part-time PhD (duration 4 years) in the remaining time. PhD tuition fees (equivalent of up to £9,200 for overseas students) will be covered in addition to the salary for four years. A formal review after year one will determine continuation of the PhD and access to the remaining 3 years of the position. Successful candidates will work with colleagues, external clients, and students whilst developing their research agenda, and will undertake all aspects of academic research, applied research projects, teaching, supervision and administration in forecasting and data mining.

We seek applicants that should have the potential to develop academic and applied research of international standard within our team. Candidates should have an excellent first degree and be completing a Master’s degree or equivalent in management, engineering or computer science, or even hold a first Ph.D. in a related subject area. Corporate experience is also valued. Candidates should have excellent verbal/written communication skills, a strong quantitative background, basic computer programming experience (in C#, mathlab etc.) and some initial expertise in the areas of forecasting and /or data mining with neural networks, preferably in the context of management science, operational research or operations management.

Please initially apply for the Research Associate position by either applying online at http://www.personnel.lancs.ac.uk/vacancydets.aspx?jobid=A121 or alternatively telephone Human Resources, quoting reference A121 on 01524 846549 (answerphone) to request an application pack. Application deadline is the 3rd of December 2008!

Enquiries on administrative aspects of the application process should be directed to Gay Bentinck at g.bentinck@lancaster.ac.uk. Enquiries on the research topics should be directed to Dr. Sven F. Crone, Deputy Director, Lancaster Centre for Forecasting, Tel. +44 (0) 1524 592991 or mobile +49 (0) 171 4910100 - Email: s.crone@lancaster.ac.uk

PhD/Posdoc Positions in Biomedical Data Mining

PhD/Posdoc Positions in Biomedical Data Mining
University of Geneva/University Hospitals of Geneva, Switzerland

Applications are invited for 2 PhD students and 1 Postdoc in data mining
applied to biomedical data. The candidates will work on a 4 year
European research project (FP7). The project will involve several
clinical sites across Europe, including the University Hospitals of
Geneva, as well as leading EHR vendors. The goal of the project is to
deliver computer tools and methods to advance the state of the art in
documenting, detecting and preventing antibiotics resistance at both
clinical and population levels.

Candidates should have the following qualifications:
-an outstanding academic record in computer science as well as strong
mathematical and programming skills;
-a solid background in at least two of the following areas: distributed
database management, quantitative analysis, machine learning,
information retrieval, business intelligence, ontology engineering,
multimodal data management (structured data/text/signals...).
-a clear aptitude for independent and creative research as evidenced by
an excellent Master or PhD thesis;
-good communication skills in English and French (or at least a clear
indication of willingness to learn the latter).

The salary for a research assistant at the University of Geneva starts
at about 50000 CHF (~45000 USD or 30000 Euro) per year. The University
and University Hospitals of Geneva are equal opportunity employers.
Please send your curriculum vitae, academic transcript, and contact
information to patrick.ruch@sim.hcuge.ch.

European Summer School on Knowledge Discovery for Ubiquitous Computing

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The 2nd European Summer School on Knowledge Discovery for Ubiquitous
Computing
http://wiki.kdubiq.org/summerschool2008/index.php/Main/Home

2-9 March 2008, University of Porto, Portugal

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The European Coordination Action KDubiq-CA (Knowledge Discovery in
Ubiquitous Environments, www.kdubiq.org) seeks new challenges for
knowledge discovery (data mining)in the fields of ubiquitous
computing. Analysis of data in various distributed and ubiquitous
environments such as sensor networks, peer-to-peer networks, embedded
systems, mobile computing devices, and grid computing platforms
demands new types of knowledge discovery algorithms.

The goal of the 2nd Summer School of KDubiq is to strengthen the
common ground for the integration of the involved fields and to
support the formation of the emerging KDubiq Community. Starting with
an introduction into embedded systems, more specialized courses focus
on wireless sensor networks and data streams. Based on a course on
algorithmic foundations of distributed data mining, privacy issues,
Web 2.0 and grid aspects of data mining are being taught. All courses
come along with exercises for hands-on experience.

Students from the last KDubiq Summer School (in 2006 in Dortmund) are
welcome to participate again in the 2nd Summer School! We have
integrated all your proposals in the new concept of the 2nd Summer
School and extended the programme to one week, including practical
lab. hours/excercises and newest ubiq. technologies and applications,
as well as involving industry into the collaboration & networking
sessions of the KDubiq Summer School.
For questions regarding the KDubiq Summer School Student Grants
Programme, please contact Prof. Dr. Katharina Morik at University of
Dortmund, Germany (morik@ls8.cs.uni-dortmund.de)

For KDubiq Members: For KDubiq student and members travel support to
the 2nd KDubiq Summer School, please contact (as soon as possible)
Ina Lauth, Fraunhofer IAIS (mailto: Codrina.Lauth@iais.fraunhofer.de)