04 PhD positions in data mining, Halmstad University, Sweden (Salary of 25000 SEK)

Introduction
The Center for Applied Intelligent Systems Research http://caisr.hh.se/ at Halmstad University, Sweden, is currently looking for four PhD students in the area of Information Technology, specialization Data Mining, to work within our research projects together with multiple industrial and public administration partners.

Deadline
The deadline for applications is 15th of June 2016.

Duration-Salary
All positions are fully funded for 4 or 5 years, with full employment benefits and an initial salary of 25000 SEK. The positions may include up to 20% teaching duties. More information is available at http://islab.hh.se/OpenPositions

Description/Requirements
All PhD theses will be in the field of data mining, machine learning and data analysis, with focus on understanding streaming time-series data and detecting deviations by comparing one individual against a group of similar, but not identical systems. The projects will entail developing novel methods and algorithms for combining information, often uncertain, coming from different sources, discovering interesting relations in the available data, evaluating their usefulness, and finally exploiting resulting algorithms to increase efficiently and reliability. The research will be performed in close collaboration with our industrial and public administration partners.
The developed methods will be applied, in various projects, to several different types of data, collected in different settings. Examples include monitoring of sterilizers for surgical equipment, operation of district heating substations in a smart grid, communication of manufacturing equipment in a factory, maintenance and operation of heat pumps, patient flow in the hospital, and more.

Goal of the research
The overall goal of the current and future research at CAISR is to investigate both data-driven and knowledge-driven methods for analysing collected information, and comparing different knowledge representations, in particular models that are general and models that build on the expert knowledge about the specifics of the domain.

Special requirements/technical experience
We are looking for a candidate who has recently received, or is expecting to finalize within a few months, a Master's degree in a relevant field such as Information Technology, Computer Science, Computer Engineering, or closely related fields. Particular strength or experience in machine learning, data mining, computer programming or applied mathematics is very welcome.

How to apply
For more information about the positions, projects and how to apply, visit visit http://islab.hh.se/OpenPositions or contact Slawomir Nowaczyk (slanow@hh.se) and Antanas Verikas (Antanas.Verikas@hh.se)

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PhD Scholarships in Statistical Machine Learning, Uppsala University, Sweden

• Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion. The Department of Information Technology has a leading position in research and education. The Department currently has about 280 employees, including 120 teachers and 110 PhD students. More than 4000 students study one or more courses at the department each year. More info: http://www.it.uu.se/?lang=en
  The Division of Systems and Control is active in machine learning, automatic control, signal processing, and system identification. The research topics of the PhD student positions will be centered around probabilistic modelling of dynamical systems, including the development and analysis of Bayesian dynamical models and/or computational learning methods (e.g. sequential Monte Carlo, Markov chain Monte Carlo, optimization and variational methods). A few examples of concrete research problems that may define the PhD projects are available here:
  http://user.it.uu.se/~thosc112/PhDpositionJune2016.pdf
  These are suggestions and the exact research topic will be determined in a dialogue between the PhD students and the supervisors. Information about our ongoing research is available from our personal web sites (http://user.it.uu.se/~thosc112/ and http://www.it.uu.se/katalog/freli660) and at the group website: http://www.it.uu.se/research/systems_and_control
  The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching).
  
  Qualifications: A PhD position at the Division requires a Master of Science or equivalent in a field that is relevant to the topic of the PhD thesis, good communication skills and excellent study results, as well as sufficient proficiency in oral and written English. Experience in machine learning for mathematical modelling of nonlinear systems is valued.
  
  How to apply: Applications should include a presentation of the applicant and an explanation of the reasons why this position is applied for, his/her research interests and past experience, a CV, copies of exams, degrees and grades, a copy of the Master’s thesis (or a draft thereof), publications, and other relevant documents. Candidates are encouraged to provide contact information to reference persons. Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent), however all applicants should state the earliest feasible starting date of employment.
  Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.
  
  For more information, see http://www.it.uu.se/first?lang=en (the department web page) or contact: Prof. Thomas Schön  (thomas.schon@it.uu.se) and Dr Fredrik Lindsten (fredrik.lindsten@it.uu.se).
  
  Deadline
  
  You are welcome to submit your application, no later than June 19, 2016.
  UFV-PA 2016/1342.
  We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.
  
  Potential Research Topics
  
  
  • Black-box inference
  • Modelling and inference using recurrent neural networks
  • Modeling and prediction of spatio-temporal processes
  
  
  
  Placement: Department of Information Technology
  
  Type of employment: Full time , Temporary position longer than 6 months
  
  Pay: Fixed pay
  
  Number of positions: 2
  
  Working hours: 100%
  
  Town: Uppsala
  
  County: Uppsala län
  
  Country: Sweden
  Union representative: Marie Ols, TCO/ST 018-471 2459
  Per Sundman, Saco-rådet 018-471 1485
  Stefan Djurström, Seko 018-471 3315
  
  Number of reference: UFV-PA 2016/1342
  Last application date: 2016-06-19
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PhD position in Federated Database System/Data Mining/Machine Learning @ Umeå University, Sweden

PH D student, Computing Science with focus on privacy preservation in database systems

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Umeå University, Department of Computing Science

Umeå University is investing in research and development of expertise in the area of database systems as part of creating an infrastructure for federated research databases. As part of this effort, we are now recruiting a Ph D student. The position is at the Department of Computing Science.

We invite excellent candidates who are interested in privacy preservation in database systems to apply for this position. The successful candidate will join the recently funded project in Umeå University on academic federated database construction and privacy preservation on federated databases.

Admission requirementsThe general admission requirements for doctoral studies are an undergraduate degree and completed courses corresponding to at least 240 higher (ECTS) education credits, at least 60 of which were awarded in the second-cycle, or substantially equivalent knowledge otherwise acquired in Sweden or abroad.

To fulfill the specific entry requirements for doctoral studies in computing science the applicant is required to have completed courses at advanced level in computing science or another subject considered to be directly relevant for the specialization in question, equivalent to 60 ECTS credits.

In the selection of candidates particular emphasis will be put on the degree of experiences, skills and interests in the following areas:

• Significant interests in database systems, especially on heterogeneous database integration and privacy preservation in federated databases
• Programming proficiency in at least one object-oriented language and one script language (e.g., Java/Matlab/Python/Perl/C/C++)
• Ability and experience of applying open source software (Apache Tomcat, MySql, Lucene, Spark etc.)

Good skills in both spoken and written English are a requirement for the position.

Other desirable qualifications are:

• Experience of processing large data sets
• Experience of web service deployment under Windows/Linux
• Internal and international collaboration experience in academia/industry on database technology and privacy preservation or relevant disciplines
• Publications on database system, privacy preservation, data mining or relevant disciplines

Important personal abilities are coordination and organization skills as well as good communication skills.

Terms of employmentThe position is aimed for PhD studies and research to be performed jointly with group members and collaboration partners, leading to a PhD degree. The position includes a competitive salary for a period of four years of research time. The doctoral student position is mainly devoted to postgraduate studies (at least 80% of the time), but may include up to 20% department service (usually teaching). If so, the total time for the position is extended accordingly (up to a maximum of five years). The employment will start on June 1, 2016, or as otherwise agreed.

 Submitting your applicationThe application should be written in English or Swedish and contain:

• A personal letter including a description of your research interests, your reasons to apply for the position, and your contact information
• Curriculum Vitae (CV)
• Copy of completed thesis (MSc and/or BSc) Copies of degree certificates, including documentation of completed academic courses and obtained grades
• Copies of original research publications, if any
• Documentation and description of software development experience
• Contact information for three persons willing to act as references
• Any other information relevant for the position

Applications must be submitted electronically using the e-recruitment system MyNetwork Pro, and be received no later than March 31, 2016. Reference number: AN 2.2.1-92-16. Log on to the system and apply via the button at the bottom of the web page.

Further information can be obtained from assistant professor Lili Jiang, (email: lili.jiang@cs.umu.se ).

More about usThe Department of Computing Science is a dynamic environment with around ninety employees representing more than ten countries worldwide. We conduct education and research on a broad range of topics in Computing Science.

Umeå University is dedicated to providing creative environments for learning and work. We offer a wide variety of courses and programmes, world leading research, and excellent innovation and collaboration opportunities. More than 4 300 employees and 31 500 students have already chosen Umeå University. When recruiting, we aim to increase diversity and the opportunity of affirmative action. In particular, we encourage female applicants!

We kindly decline offers of recruitment and advertising help.

We look forward towards receiving your application!

Department of Computing Sciences
http://www.cs.umu.se/english/

Type of employment	Temporary position longer than 6 months
Working hours	Full time
First day of employment	2016-06-01 or as otherwise agreed
Salary	Monthly salary
Number of positions	1
Working hours	100%
City	Umeå
County	Västerbottens län
Country	Sweden
Reference number	AN 2.2.1-92-16
Contact	Ass. prof Lili Jiang, lili.jiang@cs.umu.se
Union representative	SACO, 090-786 53 65 SEKO, 090-786 52 96 ST, 090-786 54 31
Published	29.Jan.2016
Last application date For more scholarships and Jobs https://www.facebook.com/groups/1685338968416560/	31.Mar.2016 11:59 PM CET