Postdoc Fellowship in Ontology Engineering/ Data Mining

Postdoc Fellowship in Ontology Engineering/ Data Mining

Applications are invited for the position of postdoctoral assistant in the Artificial Intelligence Laboratory (http://cui.unige.ch/AI-group), CSD, University of Geneva. The successful candidate will participate in a European FP7 research project where s/he will ensure ontology engineering best practice in the development of a data mining ontology (DMO). The DMO is a comprehensive ontology on all data mining-related issues such
as data preprocessing, machine learning, and multimedia mining. It is intended to support data mining workflow construction, algorithm and model selection for all phases of the knowledge discovery process, and ontology-based knowledge discovery. Research on these issues should support development of software modules to be integrated into a virtual data mining laboratory. Further information on the project can be found on http://www.e-lico.eu. Gross starting salary will be around 5200 CHF/ month (1 CHF = 0.67 EUR), depending on qualifications.

Candidates should have a PhD in Computer Science with specialization in knowledge and ontology engineering and a solid background in machine learning/data mining. Alternatively, they could be ML/DM specialists with a solid background/experien ce in ontology engineering. They should have excellent programming skills as well as communication skills in English; French would be an asset but is not indispensable. A strong academic record, excellent analytical skills and a clear aptitude for autonomous, creative research will be priority selection criteria.

Applications should include a curriculum vitae, academic transcripts, a brief statement of purpose, a list of publications, and names and e-mail addresses of at least 2 references.

Please e-mail your applications to Melanie.Hilario[ at]unige. ch. The position will be filled as soon as a suitable candidate is found.

PhD Fellowship - GTPase Signalling Pathways, McGill University, Canada

The Zheng lab in the Department of Biology, McGill University, Canada is seeking for a PhD student to study the function and molecular mechanism of small Rab GTPase signalling pathways in intracellular membrane trafficking and cell and tissue morphogenesis in plants. We are using a combined approach of genetics, genomics, in vivo imaging and molecular biology in the model plant species arabidopsis to investigate those important and interested issues.


Application

Students with or expected to obtain BSc/MSc degree are encouraged to apply by sending me(hugo.zheng@mcgill.ca) a cover letter, CV, transcripts, names of two referees.

Students who have graduated from a non-English language university are also required to provide a TOEFL or IELTS score. Previous training in molecular biology, microscopy, GFP-based in vivo imaging, genetics in Arabidopsis is considered a merit.

Hugo Zheng
Department of Biology, McGill Univ.
1205 Dr. Penfield Avenue
Montreal, QC, H3A 1B1, Canada
phone: 514-398-1328
fax: 514-398-5069
email: hugo.zheng@mcgill.ca
http://www.biology.mcgill.ca/faculty/zheng/index.html

Postdoctoral Fellow - Computer Modeling in Biology, University of Calgary, Canada

A postdoctoral fellow is required to develop a computer model of the gastrointestinal tract. The GI tract is a complex physiologically system, with a network of oscillators driving a population of muscles. The project will require the development of ionically-based representations of GI cell types, and integrating them into a anatomically realistic framework. The PDF will interact extensively with computational scientists in the Department of Electrical and Computer Engineering and biological researchers in the Department of Physiology.

Qualifications:
The candidate must possess a PhD in Engineering, Physics, Biology, or Medicine. Experience with computer modeling, numerical methods, or biophysics is highly preferred.

Application:
Edward Vigmond
University of Calgary
Department of Electrical & Computer Engineering
2500 University Dr NW
Calgary, AB, T2N1N4
Phone: 403-210-3887 Canada
Email: vigmond@ucalgary.ca

PhD Studentship in Pharmaceutical Sciences using Applied Mathematics, University of Montreal, Canada

Research Studentship (Master and Ph.D.) in pharmaceutical sciences using applied mathematics.
Modeling drug intake behaviour

The drug-intake behaviour has been shown to be a major determinant in therapeutic variability. Because of its random features, the adherence can be described using stochastic and statistical methods to quantity its effect for optimization of drug administration strategy and other impacts. We are looking for students to undergo Master or Ph.D studies, having a good academic file.

Requirements:
* You have a good mathematical background and computational skills.
* You are able to translate your ideas into practical applications.
* You are willing to learn biology and work in multidisciplinary teams

Contact:
Fahima Nekka
Professeur agrégé
Faculté de Pharmacie and CRM
Université de Montréal
C.P. 6128, succ. Centre-ville, Montréal
H3C 3J7

Tel. (514) 343 6973
email: fahima.nekka[ at ]umontreal.ca

PhD Position in Database Integration, Memorial University of Newfoundland [Canada]

PhD Position in Database Integration, Memorial University of Newfoundland, Canada
The Faculty of Business Administration at Memorial University of Newfoundland is inviting applications for a PhD in Information Systems with an emphasis on database integration. The project is supported by a grant from the National Sciences and Engineering Research Council of Canada (NSERC).


Project Description:
Database integration is a process with multiple steps, leading from the identification of the databases to the testing of the integrated system.?The central step of this process is the identification of database?elements that are similar to each other. This step is called schema matching. Human users perceive schema-matching methods as successful when they match database elements according to the same similarity criteria that the users would apply. Many automatic software-supported schema-matching methods have been proposed, using a range of different notions of similarity. However, existing research has paid little attention to empirical work: There is little knowledge of how human data integrators judge the similarity of database elements. A recent study has shown that a “one-size-fits-all” approach does not apply and that human notions of similarity are strongly affected by the database integration context. The proposed research is a study to systematically examine how human database integrators carry out schema matching. This knowledge will then be applied to implement improved schema matching methods.

Application Criteria:
The applicant will have a Bachelor (Hon) or Master’s degree and strong interest and background in information systems, computer science, or cognitive science with knowledge of databases or knowledge representation. Interest (and preferably experience) in both technical and empirical research is required.
Applications must meet the regular admission criteria and will undergo the regular admissions process for the PhD program.

Funding:
The Faculty of Business Administration will provide support to all admitted students for a period of four years. The level of support will be competitive with that offered by other Canadian universities, and may consist of a combination of grant, research assistantship, and teaching assistantship.

Information and Application:
The deadline for applications is March 1, 2009.

Late applications may be considered as time and resources permit. Please contact Dr. Joerg Evermann at jevermann[ at ]mun.ca for further information about the project.

Information about the PhD program and the application procedure can be found here.