PhD Research Positions at the Graduate School for the Humanities (9,0 fte) at University of Groningen

PhD Research Positions at the Graduate School for the Humanities (9,0 fte) at University of Groningen

Organisation
The Faculty of Arts at the University of Groningen is committed to providing advanced training at PhD level to the most promising young scholars in Archaeology, Literature and Cultural Studies, and Linguistics. The Graduate School of Humanities offers the organizational infrastructure within which graduate students participate in advanced training and supervised research.
Job Description
The Graduate School for the Humanities offers 9 full time PhD positions in the following fields:
5,0 fte in the field of Literary and Cultural Studies (including History, International Relations and Journalism)
3,0 fte in the field of Linguistics
1,0 fte in the field of Mediterranean Archaeology



Secondary
PhD-positions are for four years on a full-time basis (contract for 18 months, with an extension of 30 months after a positive evaluation). The PhD will follow a tailor made research training programme of 20 ECTS and will write a doctoral dissertation. The successful candidates maybe asked to do some teaching.
The University of Groningen offers a salary with a minimum of € 2042 gross per month for a full-time position in the first year and a maximum of € 2612 in the last year of the appointment.
The appointment starts preferably 1 September 2010.

Please respect these guidelines.
Applications that do not follow the right format will not be taken into consideration.
Direct your letter of application to the Director of the Graduate School for the Humanities, prof.dr. C.L.J. de Bot, and mention reference number 210074-82

Mailing your application
Send your application either by

Mail address:
Graduate School for the Humanities
attn. Director prof.dr. C.L.J. de Bot
Faculty of Arts
PO Box 716
NL 9700 AS Groningen.
Netherlands

or

e-mail to the webmaster of the Graduate School for the Humanities, mr. G.J. van Oordt (g.j.van.oordt@rug.nl)

When applying by e-mail:
mention the research field for which you are applying in the subject line;
attachments should have Word-format, RTF or PDF only;
convert scanned documents (JPG- or TIFF-files) to PDF.

Informal enquiries
Informal enquiries may be directed to the contact addresses mentioned on the application format page of the research field you are applying for.
Please Do NOT direct your informal enquiries to either Prof. C.L.J. de Bot or G.J. van Oordt
You can only apply for positions that are advertised.

Deadline
Applications should be in by 15 March 2010.

Reference number
210074-82

Website link:
http://www.rug.nl/gradschoolhumanities/admissions/phdpositions/index

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2 Beasiswa S3 di Universitas Amsterdam Belanda

University of Amsterdam
Building on its previous research in the history of econometrics, modelling and measurement in economics, the History and Methodology, Group of the Faculty of Economics and Business at the UvA is starting a new project. A recently awarded innovational research grant (VIDI) from the Netherlands Science Foundation (NWO) will enable us to write a history of observational practices in economics. We invite applications for Two PhD positions in the History and Methodology of Economics at the Universiteit van Amsterdam full time vacancy number 07-5043 For both internal and external candidates.

The project will investigate the observational technologies and practices economists use and used to identify their objects of study and to investigate their nature. The project will link these technologies and practices to three different sites of observation, each of which has its own particular history: the ‘armchair’, the ‘observatory’ and the ‘laboratory’. The PhD candidates will be expected to write a historical and comparative study on one of the last two mentioned sub-projects.

We ask:
The position is open to excellent students with a Master’s or equivalent in Economics, Cognitive Psychology or other social science, or in the History of the Sciences / Social Sciences. The students should have or be ready to acquire knowledge of historical and ethnographical methods of research.

We offer:
An inspiring international research environment. Our group maintains regular contacts with the Economic History Department and the Centre for Philosophy of Natural and Social Sciences at the LSE in London and at The Max Planck Institute for the History of Science in Berlin, and with the Economics Department at Duke University and the Ecole Normale Supérieure de Cachan in Paris.

More information
Inquiries about the project should be directed to Dr Harro Maas (email: h.b.j.b.maas@uva.nl, website http://www1.fee.uva.nl/pp/hmaas/). A brief description of the project is available by clicking on the PDF attachment below. An extensive description is available on request. For more information about the Amsterdam History and Methodology Group, see http://www.fee.uva.nl/hme/.

Appointment
The selected PhD candidates will be given full-time contracts for one year (starting 1 February 2008), which will be concluded by an evaluation. Upon positive outcomes, the contracts will be extended for a further three years. The students will be expected to complete their PhD theses by the end of their appointments. The gross monthly salary will range from €1,956 in the first year to €2,502 in the fourth year. The students will spend an extended period at the Max Planck Institute for the History of Science in Berlin.

Job application
Candidates should submit a letter of interest, a curriculum vitae, a reflection on the sub-project of interest (max. 2000 words), a transcript of courses taken (including grades) and two letters of recommendation.

Application packages should be sent to: Universiteit van Amsterdam, Personnel Department, attn J.J. Bast, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands. Applications may also be emailed to applications-feb@uva.nl. Please include the job reference number. The deadline for applications is 1 December 2007.

Attachments
A History of Observation in Economics, brief description
http://www.uva.nl/vacatures/object.cfm/objectid=EB2B351A-1321-B0BE-
68D5B71BD2B658DC/download=true history of observation, brief description.pdf/19 KB

Refer to
History and Methodology Group http://www.fee.uva.nl/hme/ Salary scales Collective Employment Agreement (CAO-VSNU) (Dutch language) http://www.vsnu.nl/web/show/id=44822/langid=43

Harro Maas
Dept. of Economics, Room E9.09
University of Amsterdam
Roetersstraat 11
1018 WB Amsterdam
The Netherlands

Tel: 00 31 20 525 4263
Fax: 00 31 20 525 4254
email: H.B.J.B.Maas@uva.nl
http://www1.fee.uva.nl/pp/hmaas/

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PhD Job Vacancy in The Netherlands

The Netherlands: PhD Position in Adaptive Distance Measures in Relevance Learning Vector Quantization, University of Groningen

Project Description:
Learning Vector Quantization (LVQ) is a family of appealing algorithms used in a variety of classification problems. An iterative training process determines from a given set of example data a set of prototypes which represent typical features and parameterize a distance based classification scheme. A key difficulty is the choice of an appropriate distance measure. Frequently, Euclidean metrics are employed without further justification, or different measures are compared in a
trial-and-error approach. An appealing solution to this problem is the use of adaptive metrics. Relevance learning schemes have been proposed which assign a relevance factor to each dimension in feature space. These factors and the prototypes are updated at the same time during training. One aim of the project is a better theoretical understanding of relevance learning. To this end, we will extend our previous mathematical description of the learning dynamics and performance of LVQ.

The focus of the project will be on an important extension of relevance learning that we have recently suggested: the adaptation of relevance matrices during training. Matrix Relevance Learning does not only weight single features differently, but takes into account correlations between them, as well. As a testbed for the novel class of algorithms, it will be implemented and benchmarked in practical problems of, e.g., medical data analysis, classification of bioinformatics data and image processing problems.

Qualification:
You hold a university degree (diploma or master of science) in Computer Science, Physics or a related discipline with an excellent academic record. You are highly interested in both, theoretical and applicational aspects of machine learning. Proficiency in English (both oral and written) and excellent communication skills are indispensible for this project. This concerns, in particular, the ability to write scientific articles and reprorts.

Organization:
The project will be embedded in the research group Intelligent Systems with Dr. Michael Biehl as thesis supervisor.

Conditions of employment:
PhD students are employed for a maximum period of four years. Salaries are according to the standard salary scale for PhD students with an estimated gross salary of 1956,- Euros per month in the first year, increasing to a monthly salary of 2502,- Euros in the fourth year.

Contact information:
Dr. Michael Biehl (m.biehl@rug.nl, Tel: +31 50 363 3997)

Information about on-going research, re- and preprints etc. are available from: www.cs.rug.nl/~biehl

Application:
Initially, send a short CV including information about your academic degrees and grades, as well as a letter of motivation to Michael Biehl (preferred format: pdf or ps). The position will be open until a suitable candidate is found.

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