Each PhD student position is funded for three years (regular employment contract with full social benefits). The yearly salary ranges from a minimum of 12,724 Euro to 25,915 Euro before taxes, depending on cofunding via associated projects.
Applications are solicited starting immediately, and will be considered starting from September 10, 2010, until all positions are filled, but no longer than March 15, 2011.
Overview
The Vienna University of Technology (TU Wien) is offering 10 PhD student positions within the doctoral program
"Mathematical Logic in Computer Science" which is launched in Fall 2010. five of the positions are reserved for female applicants.
The program is jointly organized by the faculties of Informatics, Mathematics, and Physics, with a strong emphasis on Logic in Computer Science; computational logic is one of the priority research areas of the Faculty of Informatics.
TU Wien has a strong international reputation in various fields targeted in the program, including :
Logic in Databases,
Computer Aided Verification,
Constraint Satisfaction and Satisfiability,
Knowledge Representation and Reasoning,
Finite Model Theory,
Quantum Information and Recursion Theory,
Proof Theory and Automated Deduction,
Many Valued and Fuzzy Logic,
Complexity Theory,
Set Theory.
The program is interdisciplinary and fosters the application of Mathematical Logic to Computer Science; two envisaged key application areas are :
Model-Based Design and Verification,
Advanced Information Systems.
The faculty of the program consists of M. Baaz, A. Ciabattoni, T. Eiter (coordinator), M. Goldstern, G. Gottlob (associated), A. Leitsch, R. Pichler, K. Svozil, S. Szeider, H. Veith and S. Woltran.
Candidates must have an MSc or equivalent degree in Computer Science, Mathematics or related fields, and an excellent record of study. They should have solid basic knowledge in logic, discrete mathematics, and computer science; knowledge in fields targeted in the program is desired.
12 RUB-Grants 2010 awarded within the framework of the Grant-Programme of the Ruhr University Research School http://www.research-school.de/rub-grants.html
Scope of the programme
Promotion of early stage researchers by awarding grants to highly qualified doctoral candidates realising an ambitious and innovative research project in one of the research areas of Ruhr-Universität Bochum. We also encourage all doctoral candidates to apply for a grant with an interdisciplinary research project. The call is open for candidates from every scientific discipline and nationality intending to realise their research project at the Ruhr-Universität Bochum (you have to submit your doctoral thesis at Ruhr-Universität Bochum).
The application must be completed by the confirmation of a first supervisor at RUB – please build up contacts to one of the scientists at RUB and ask for supervision. You know best about your scientific main focus and in which special research field you want to obtain your doctorate. So please act independently: identify and contact a potential supervisor for your research project at an early stage of your application on your own.
Information about the research areas at Ruhr-Universität Bochum you will find on the following websites: http://www.ruhr-uni-bochum.de/forschung/
Start of Funding The earliest start of funding will be March 1st, 2011 .
Target Group Graduates of all disciplines with a university degree qualifying for doctoral studies.
Requirements
* we expect your research project to make an important contribution to the corresponding research field (please outline this in a research exposé of 5 pages) * clearly above average university degree * uninterrupted studies (in case your total study period took more than 13 semester/ 6,5 years please explain in the application form) * the start of your doctoral research project should not extend a period of time of 12 months with reference to the application deadline; we concede reasonable exceptions – please explain in the application form * the university degree qualifying for doctoral studies has to be submitted at the latest until November 10, 2010 before the applications will be given to the faculties for further survey and expertise (Bachelor degree in case of fast track procedure plus information about grades already obtained in the master studies) * candidates who have to fulfil additional requirements are also allowed to apply for a grant (first supervisor is responsible for compatibility between fulfilment of requirements and successful doctorate) * candidates with a Bachelor degree involved in the fast track procedure are also allowed to apply for a grant; the official admission to doctoral studies from the faculty has to be submitted before the funding will start * if you are already accepted as doctoral candidate by one of the faculties of Ruhr-University Bochum please enclose the official letter of acceptance from the faculty to your application * if you are not accepted as doctoral candidate in one of the faculties of Ruhr-University Bochum we need a confirmation of the faculty that you will be accepted for doctoral studies in case of funding (from the faculty you will realise your research project) when you are invited to the second stage of the admission process
Application The application form "Grant-Programme" of the Research School has to be used for application. The application form and the corresponding notes for guidance will help you through the application process. The notes for guidance also list all documents you have to submit together with the application form.
Admission process and decision (2 stage process)
* a signed hardcopy of the application form with 2 letters of reference and all necessary documents have to be sent to the Central Coordination Office until October 31, 2010 * on the basis of the application the faculties and rapporteurs will suggest a preliminary ranking of the candidates * on the basis of this preliminary ranking the Executive Board will invite the best candidates (January 2011) for a research colloquium * research colloquium and the ensuing choice and recommendation by the rapporteurs will take place on February 7, 2011 * the final decision of the Executive Board will be made on February 9, 2011
Type of funding and amount The grant amounts to 1.000,- Euro per month, children`s allowance amounts to 100,- Euro per month in addition.
Period of funding and of approval Max. 36 months of funding are provided, whereas the period of first approval comprises 12 months. We offer 2 times for prolongation – each comprising 12 months - after having reviewed the progress reports.
Interruption In case of illness the grant will be paid for further 6 weeks. In case of pregnancy the grant payment will be intermitted for a time period of 14 weeks (6 weeks before and 8 weeks after childbirth). The approval may be extended for this period of time respectively.
Secondary employment During the funding period a short-time work of max. 6 hours per week is allowed
Duties of the grantee
* participation in the structured doctoral training programme of the Research School, follow the Individual Training and Supervision Plan of the Research School, take actively part in the Research School * communicate immediately all important changes of the personal conditions as well as interruptions, changes or abandonment of the research project * adequate use of the grant
For organisational reasons we kindly ask you to send your application documents without any cover or folder. Thank you! http://www.research-school.de/rub-grants.html
The European Institute of Innovation and Technology (EIT) has selected the InnoEnergy consortium to form a Knowledge and Innovation Community (KIC) in the field of sustainable energy. The InnoEnergy consortium is part of the strategic initiative of the European Commission, to bridge the innovation gap in Europe and secure a competitive European leadership in the sustainable energy sector. Our mission is to:
Address long term challenges and identify new opportunities for innovation in Europe
Transfer higher education, research and innovation activities to the business context and their commercial application (create spin-offs, start-ups and SMEs)
The Ph.D. Program runs over four years, with the first year mainly devoted to specialized courses in subject areas and including course modules on management and entrepreneurship. A minimum of 6 months exchange at another partner organization and internships at sponsoring companies are some of the features of the Ph.D. School. All Ph.D. Positions are fully financed by InnoEnergy partners and the EIT. Admission is open to excellent students worldwide through a competitive selection process. Official language of the Ph.D. School is English.
More information about the consortium can be found at the EIT website ( link here) and at (here)
The Swedish co-location centre of InnoEnergy is responsible for Smart Electricity Grid and Storage. The Ph.D. School in Smart Electricity Grid and Storage is coordinated by the Colocation Centre Sweden and placed at the Royal Institute of Technology - KTH in Stockholm. Students can be enrolled and placed at any of the InnoEnergy degree issueing academic partner institutions in the eight countries participating in the KIC. When fully operational by 2014, around 80 Ph.D. students of the school are expected to be the prime developer of the smart electricity grid and storage systems of the future.
A PhD studentship for 3 years is available. The monthly gross salary is 1 947.80 € during the two first years and 2 048.60 € during the last year. The successful candidate will join the SARDES Distributed Systems Research Group at INRIA Grenoble: www.inria.fr/grenoble
Research Description
Cloud Computing is a paradigm for enabling remote, on-demand access to a set of configurable computing resources. A Cloud may stand at different levels of the hardware and software stack where: (i) an Infrastructure as a Service (IaaS) cloud enables access to hardware resources such as servers and storage devices.
(ii) a Platform as a Service (PaaS) cloud allows the access to software resources such as operating systems and software development environment, and
(iii) a Software as a Service (SaaS) cloud is an alternative to classical software applications running locally on personal computers which are, instead, provided remotely by the cloud (e.g. messaging services, document editing services, etc.). Although Cloud Computing provides a means to support remote, on-demand access to computing resources, its ad-hoc management poses significant challenges to the scalability, performance, dependability and economical costs of cloud services.
A differentiating element between Cloud Computing environments will be the quality-of service (QoS) and the service level agreement (SLA) provided by the cloud. However, service composition and cloud elasticity that underlie Cloud Computing make cloud management challenging. The proposed PhD project aims at investigating novel protocols for scalabile and efficient cloud provisioning, while guaranteeing dependability and reducing costs. The project will study an innovative approach that combines control theory techniques with distributed algorithms in order to build self-elastic clouds. Novel models, control laws, and distributed algorithms will be proposed for automated provisioning, configuration and deployment of cloud services to meet SLA requirements, while tackling scalability and dynamics issues.
INRIA SARDES Research Group 655, avenue de l`Europe, Montbonnot 38334 St Ismier Cedex, France
Contact Application materials (including CV and the names of two referees) should be sent by email to Dr Sara Bouchenak. Sara.Bouchenak@inria.fr Phone: +33 (0)4 7661 53 82 Fax: +33 (0)4 7661 52 52
First step. Please contactby email to h.jaeger@jacobs-university.de with an informal statement of interest, then we'll see further.
In the Machine Learning Group of Herbert Jaeger at Jacobs University Bremen, funding is available for a 3-year PhD stipend, starting in August 2010 or later. The stipend amounts to 1000 Euro / month. The PhD research under this stipend offers great freedom, because it is not tied to a funded project. There are only two constraints: the research should have a strong mathematical / analytical flavor, and it should contribute to the further development of observable operator models (OOMs).
Indicative topics. OOMs are an approach to model arbitrary stochastic processes with linear operators. This leads, on the one hand, to a general mathematical theory of stochastic processes in terms of linear algebra concepts. On the other hand, it leads to novel learning algorithms for stochastic system identification. OOM research in our group has always been heading into both of these two directions – mathematical theory, and practical (but mathematically well-founded) learning algorithms. It is up to the successful candidate to select an area in OOM research of his/her liking, after a decent time of initial training. Here is a choice of exemplary topics, where initial work has been done and which wait for a motivated craftsperson (or genius) to be further pursued:
Working out the connections between the formalism of quantum mechanics and OOMs. Both formalisms have conspicuous structural similarities, and there is hope they can be unified. This could lead to efficient algorithms for learning quantum models from observation data.
Develop novel methods for reinforcement learning and agent decision making. OOMs are closely related to predictive state representations, a recent innovation in reinforcement learning and agent modeling. We have a torso of a conceptually new approach to learning of optimal decision making in stochastic environments, waiting to be worked out.
Develop a theory which unifies stochastic grammars with stochastic processes. Grammar models of random sequences afford a structural analysis of such sequences, while process models lead to temporal analyses. It is an open and fundamental question how the two are related, with great potential impact on biosequence and speech analysis. Initial insights have been obtained in the group.
Extend the current core OOM formalism, which is defined using un-normed vector spaces, to a Hilbert space based theory. At least two ways of how this can be done have already been outlined. A completion of this line of research would lead to a deeper understanding of important statistical issues, especially concerning the approximation of high(or infinite-)dimensional models by low-dimensional ones.
Develop efficient online learning algorithms for OOMs. Currently only offline algorithms are statistically and computationally efficient; the few known online learning algorithms are inefficient to the degree of being useless in practice.
Requirements.
Simple to state: very good math skills, a formal-analytical mindset, and an interest in interdisciplinary exposure. It is not important (but of course gladly accepted) to have previous experience in probability or stochastic processes, but fluency in general math thinking and formula-writing and proof-finding is expected. A Master (or equivalent) degree in a suitable field would be the default formal requirement, but exceptionally motivated BSc degree holders will also be considered – and filed into the integrated PhD track of Jacob`s freshly founded Mathematics, Modeling, and Computing research center.
Working environment.
Our machine learning group, which currently comprises 4 PhD students and 2 postdocs, pursues two major fields of research: recurrent neural networks of the reservoir computing flavor, and the modeling of stochastic dynamical systems with OOMs. Roughly speaking, the neural network research tends more to the engineering and applications side, while the OOM work is more foundational and mathematical. The group is coordinating the European project ORGANIC, which is about complex and partly biologically inspired architectures for speech recognition based on recurrent neural networks. Furthermore, the group is a partner in the European AMARSi consortium, which is is about biologically inspired architectures for humanoid robot motor control, again using recurrent neural networks. Finally, there is a project funded by the German National Research Society (DFG) which concerns OOM architectures for analyzing high-dimensional stochastic data, for instance from neural recordings, EEG, brain imaging, or gene regulation dynamics. Besides the intense working relationships with European groups afforded by these projects, we also enjoy a regular exchange of ideas (and sometimes, students) with world leading researchers in machine learning, especially Joshua Bengio and Richard Sutton.
Our group meets several times a week for extended study and discussion of the research we are doing ourselves, and of relevant developments in the neighboring disciplines: computational neuroscience, cognitive science, robotics, AI, bio-informatics, statistical physics, and more. This breadth of exposure reflects the interdisciplinary history of the group itself, and its current embedding in multidisciplinary large-scale projects.
Jacobs University is a special place: Germany`s only full-fledged private university (with about 20 majors from the natural sciences, the social sciences and humanities, and engineering). Founded only 10 years ago, in some disciplines Jacobs has already reached the top position in the CHE ranking, Germany`s most relevant university ranking. Students from more than 90 nations make Jacobs one of the most international universities on this planet. The campus language is English (also of course in our group). And our campus is beautiful.
Bremen is an ancient trading and harbor town close to the North Sea. It used to be Germany`s port for coffee, cacao and wine, from which times a culture of open-mindedness has been preserved – it is easy to feel welcome in this town and its environments. Costs of living are among the lowest in Germany (average rent per square meter for small-to-medium-sized flats is about 6 Euros; Jacobs runs its own student accomodations which are even cheaper).
Prolongation and transformation of stipend.
After the research topic is settled, the project will be submitted for funding to the DFG. The outcome of this will become known at about the end of the second year; if positive, the stipend will be transformed into a work contract with a regular salary, and from then on continue for 2 (+1) years. If an external grant cannot be secured, a prolongation beyond three years cannot be guaranteed, but everything will be done to arrange this if the PhD project is not finished after three years (I don`t think that a very good PhD thesis is typically achievable within 3 years if there is a demanding working-in phase involved, as I would expect in this case). HYTBN2DPKJJU
Karlsruhe Institut of Technology PhD Positions in Analysis and Numerical Math. 2 years Postdoc-position and 3 years PhD-positions in Analysis and Numerical Mathematics (Maxwell`s equation, Schroedinger equation, Inverse Problems).
The Research Training Group 1294 of the German Research Foundation (DFG)
"Analysis, Simulation and Design of Nanotechnological Processes" is organized by scientists of the department of mathematics at the Karlsruhe Institute of Technology in cooperation with scientists of the Departments of Electrical Engineering and Information Technology and Physics.
The aim of this Research Training Group is the analysis, the simulation and the design of nanotechnological processes from a mathematical point of view. These topics will be treated as a complement and in interdisciplinary cooperation with the center for functional nanostructures (CFN) in Karlsruhe. Every project will concentrate on a mathematical aspect of a problem in nanotechnology in cooperation with a scientist in physics or engineering. The projects in the first period are mainly motivated by problems in nonlinear optics. In particular, photonic crystals will be investigated. In the analysis and the simulation of the partial differential equations which describe nanostructures several mathematical difficulties arise, e. g., the treatment of nonlinearities, simultaneous occurence of continuous and discrete spectrum, problems with multiple scales, and the ill-posedness of these problems.
Mail address: DFG-Graduiertenkolleg 1294: "Analysis, Simulation und Design nanotechnologischer Prozesse" Universität Karlsruhe Prof. Dr. Willy Dörfler 76128 Karlsruhe
Contact: Coordinator of the Research Training Group: Prof. Dr. Willy Dörfler Deputy Coordinator: Prof. Dr. A. Rieder, Prof. Dr. G. Schneider Telephone: +49 721 608-8850 Fax: +49 721 608-6679 E-mail: willy.doerfler@kit.edu
Application deadline: Jun 01, 2010 PhD studentship in theoretical combustion, UPMC, France At University Pierre et Marie Curie Paris 6, Turbulence group Field(s): fluid dynamics.
This position would concern theoretical/numerical modelling of combustion dynamics. The aim of the modelling work is to establish physical-sound mathematical models which are capable to shed some light on present issues for reliable design of combustion. An unresolved fundamental issue is the relative importance of hydrodynamics (turbulence) compared to chemical kinetics on the combustion process. First, the mathematical and physical structure of the advection-reaction-diffusion equation that is typical for combustion phenomena will be studied.
In a second time, the complete compressible Navier-Stokes equation and the modelled reaction-diffusion equation previously analysed will be coupled. The work will use various experiments as basis for verifying the modelling. The experiments will be mainly from experimental research carried out at the department by the means of a rapid-compression machine.
The work will be carried out in collaboration with the University of Rome `La Sapienza`.
Applications are now invited for the position and are tenable as soon as possible. Candidates are expected to have a degree in Physics, mechanical Engineering or a similar discipline; Candidates who are also skilled in fluid mechanics, dynamical systems and numerical methods are strongly encouraged.
Please send your applications, including a CV possibly with a list of references, as a single PDF-file by email to the address given below.
Contact: Dr Sergio Chibbaro E-mail: sergio.chibbaro@upmc.fr Phone: +33144278722 Fax: +33144275259 Address: Institut Jean Le Rond D`Alembert Université Paris 6 case 162 4, place jussieu 75252 Paris Cedex 05
The deadline for applications is 20 April, 2010. before 12 noon, local time.
The Department of Information Engineering and Computer Science is one of the leading and faster-growing research institutions, characterized by a young and international faculty and by a large, international student population. Indicators for scientific production put the department among the very top in Europe.
The successful candidate will therefore have the opportunity to work in a dynamic and exciting environment.
Trento is a vibrant city with a beautifully preserved historic center, consistently ranked at the top for quality of life in Italy. It offers a variety of cultural and sports opportunities all year around, as well as excellent food and wine.
Links related to the programme: 1. DISI web site: http://disi.unitn.it 2. Research at DISI: http://disi.unitn.it/research 3. PhD School: http://ict.unitn.it/ 4. Online application for PhD Positions: http://disi.unitn.it/edu/appform/login.xml
Contact: ICT International Doctoral School, Department of Information Engineering and Computer Science, University of Trento Phone: +39 0461 883989 Fax: +39 0461 883964 e-mail: infoict@disi.unitn.it
You will design and fabricate a magnetic tweezers setup to generate appropriate external magnetic fields and integrate this with a state-of-the-art fluorescence microscope. You will perform Brownian dynamics simulations and develop an experimental model system based on artificial membranes in order to characterize the physical aspects of protein manipulation using MNPs. You will assess various techniques (optical and non-optical) to visualize the magnetically induced changes in protein/MNP distributions. Finally you will apply the method to study receptor aggregation dynamics in T-cells.
Location University of Twente, Enschede, The Netherlands.
Research
The aim in this project is to develop an innovative biophysical approach based on the use of magnetic nanoparticles (MNPs) that will allow us to exert forces on, and actively manipulate, individual receptor proteins on the surface of living cells using smart external magnetic fields. It is anticipated that active manipulation of these receptor proteins will provide a very powerful tool that will give new insights into biophysical processes in cells. Exploring the physics of this new technology is the primary objective. To demonstrate the power of this biophysical method, it will be applied to address key issues in cell signaling. By controlling the aggregation of membrane-associated receptor molecules, the state of immune system T cells can be actively switched from an `inactive` to an `active state`, thereby mimicking a process that is crucial in cell signaling.
The work will be carried out in the Biophysical Engineering Group, which has a long-standing experience in developing physical tools to study biology on the molecular and cellular scale. The group has a well equipped laboratory with a wide variety of both home-build and commercial setups such as AFM, optical tweezers, magnetic tweezers, FLIM, TIRF and CLSM. The current project builds on the vast experience of the group in the application of magnetic tweezers to cell biophysics (see e.g. a.h.b.deVries et al., 2007, Nano Letters 7:1424-1427). You can expect to be part of a team of enthusiastic and inspiring colleagues. The research group is part of the MIRA Institute for Biomedical Technology and Technical Medicine and the MESA+ Institute for Nanotechnology, and participates in the new Twente Graduate School. For the application of the method on living cells we will collaborate with prof. C.G. Figdor from the NCMLS at the Radboud University of Nijmegen.
Requirements We are looking for an experimentalist with a background in experimental (bio-) physics, who is interested to work in the new and rapidly developing field of nanobiophysics.
Conditions of Employment When fulfilling a PhD position at the FOM foundation, you will get the status of junior scientist.
You will have an employee status and can participate in all the employee benefits FOM offers. You will get a contract for 4 years. Your salary will be up to a maximum of 2,610 euro gross per month.
You are supposed to have a thesis finished at the end of your four year term with FOM.
A training programme is part of the agreement. You and your supervisor will make up a plan for the additional education and supervising that you specifically need. This plan also defines which teaching activities you will be responsible (up to a maximum of 10% of your time). The conditions of employment of the FOM-foundation are laid down in the Collective Labour Agreement for Research Centres (CAO-Onderzoekinstellingen), more exclusive information is available at this website under Personeelsinformatie (in Dutch) or under Personnel (in English).
General information about working at FOM can be found in the English part of this website under Personnel. The `FOM-sollicitatiecode` (in Dutch) applies to this position.
Contact For more information please contact Hans Kanger tel.: +31 (0)53 489 37 26, or Prof. Vinod Subramaniam.
Website http://www.universiteittwente.nl
Applications Dr.ir. J. S. Kanger Biophysical Engineering Group University of Twente PO Box 217 7500 AE Enschede The Netherlands
or by email to: BPE@tnw.utwente.nl Incomplete or mass-mailed applications will not be considered. Applications should include a resume, list of grades, and a one-page motivation.
The Faculty of Architecture and Fine Art, NTNU, announces six PhD- and one post doctor positions. Two PhD-positions are earmarked for the newly established Research Centre on Zero Emission Buildings (ZEB), one is within the field of real estate development and facilities management, one ph.d and post doctor related to research by design and the three last are attached to the Faculty`s priority areas:
The need to reduce the rise in the CO2 concentration of the atmosphere has initiated the development of techniques aiming at reducing the CO2 emission from power plants and other point sources. One of these techniques is to capture CO2 at the point source and then inject it in pressurized form as a supercritical liquid into depleted hydrocarbon reservoirs, in the deep ocean or in deep saline aquifers. Little attention has so far been paid on the possible impacts of CO2 storage on the shallowgroundwater systems which frequently are exploited for drinking water and feed streams and wetlands. The acidification caused by CO2 entering the aquifer from below could mobilize trace metals and the higher levels of bicarbonate might desorb phosphate and arsenate deteriorating drinking water and surface water quality. Increased rates of mineral dissolution could increase aquifer permeability leading to rapid transport of contaminants. Field based studies elucidating these aspects are clearly needed.
Application deadline March 1st, 2010.
Effects on groundwater quality related to the release of CO2 from underground CO2 storage. Applications are invited for a PhD scholarship in the area of groundwater geochemistry related to potential effects of Carbon Capture and Storage (CCS) The PhD position will be funded by the Danish Council for Strategic Research, in the research project Environmental Technology For Geological Storage Of Carbon Dioxide running 2010-2013.
The PhD project will investigate the consequences of high CO2 concentrations entering into aquifers through a combination of laboratory column experiments and field experiments in aquifers. Geochemical modeling should be an integral part of the experimental planning and interpretation and extrapolation of the results.
Qualifications For this position we seek a PhD candidate with a Master`s degree in aquatic geochemistry or a related field. Experience with laboratory and field investigations as well as geochemical modeling will be advantageous. We expect good communication skills, both verbally and in writing. The position is open to both international and Danish candidates.
The PhD project will be carried out at DTU Environment www.env.dtu.dk in close collaboration with GEUS (Geological Survey of Denmark and Greenland) (www.geus.dk).
Approval and Enrolment The PhD candidate will be enrolled at the Technical University of Denmark, DTU Environment and be part of the large and divers group of PhD students there. The full scholarship will be for an enrollment period of 3 years.
The scholarships for the PhD degree are subject to academic approval, and the candidates will be enrolled in the Chemistry, Biotechnology and Chemical Engineering PhD programme at DTU. For information about the general requirements for enrolment and the general planning of the scholarship studies, please see the DTU PhD Guide.
Salary and Appointment Terms The salary and appointment terms (3 years) are consistent with the current rules for PhD students.
The successful candidate will be expected to start as soon as possible after May 1st, 2010.
Further information Further information is available from Associate Professor Rasmus Jakobsen, DTU Environment, e-mail raj@env.dtu.dk (DO NOT SEND APPLICATION TO THIS E-MAIL).
Application We must have your online application by 8 March 2010. Please open the link `apply online` and fill in the application form and attach your application, CV and other relevant documents.
All interested candidates irrespective of age, gender, religion or ethnic background are encouraged to apply.
The completed application forms must reach the above mentioned address no later than Monday, February 15th 2010. Application by e-mail will only be taken into consideration when sent to the following address: jobs@uhasselt.be.
Hasselt University announces, within the Center for Statistics, the UHasselt entity of the Interuniversity Institute for Biostatistics and statistical Bioinformatics the following position (m/f):
PhD (2x2 years) `Statistical Methodology in Vaccine and Infectious Disease Research` (mandate 090/32/045)
# Job description # PhD in statistical methodology in vaccine and infectious disease research. The research activities are part of an interuniversity collaboration between the Institute VAXINFECTIO of the University of Antwerp, and the Center for Statistics, Hasselt University. The main interdisciplinary research themes are i) to improve and/or increase the understanding of the immune system, ii) to develop strategies for the containment of antibiotic resistance and iii) to develop new methodology in modeling infectious disease spread. # Profile # 1. You have a strong quantitative background; 2. You are intrinsically motivated, think analytically and creatively, and work in an organised and focused manner; 3. You enjoy working in an multidisciplinary environment (statistics, epidemiology, medical sciences, life sciences); 4. Experience in the use of statistical/ mathematical software such as SAS, R, etc., is a plus.
# Diploma # Licentiate, Master, or equivalent degree in (bio)statistics, mathematics, physics, biology or related field.
# Offer # The appointment takes is for a period of 2 years, extendable to a total period of 4 years.
# Further information # 1. Content job responsibilities: * Prof. dr. Niel Hens, +32 11-26 82 32, niel.hens@uhasselt.be * Prof. dr. Marc Aerts, +32 11-26 82 47, marc.aerts@uhasselt.be
2. Content terms of employment and selection procedure: Jef Vanvoorden, 011-26 80 80, jef.vanvoorden@uhasselt.be
Application Applicants must use the official application forms which are available at the Rectoraat of Hasselt University, Campus Diepenbeek, Agoralaan - building D, B-3590 Diepenbeek (Belgium), phone +32 - 11 - 26 80 03 or which can be downloaded here pdf-file / Word format.
The completed application forms must reach the above mentioned address no later than
Deadline for applications: 10 January 2010 Starting Date: February-March 2010 Description: IGAR opens a position in the field of application of machine learning algorithms (neural networks of different architectures, support vector machines, etc.) and geostatistics for geo/environmental sciences. The main tasks concern the development, adaptation, and programming of data mining (pattern recognition) models and tools. In particular, topics to be studied include modeling of data clustering, novelty detection, feature selection, manifold learning, risk mapping, and spatio-temporal simulations. In addition to the PhD the candidate is expected to assist in teaching (French, English) and other projects at the institute.
Remarks: Motivation letter, CV, list of publications, MS thesis or equivalent, and recommendation letter should be sent by e-mail to Prof. Kanevski.
Contact IGAR, Prof. M. Kanevski Mikhail.Kanevski@unil.ch
Homepage: http://www.unil.ch/igar
Website link: Information Institute of Geomatics and Analysis of Risk (IGAR); Faculty of Geosciences and Environment (FGSE), University of Lausanne Position: Assistant, PhD student Place of work: Institute of Geomatics and Analysis of Risk (IGAR), University of Lausanne
Education and skills: MS degree in one of the following disciplines; statistics, machine learning, computer science, physics, geosciences, applied mathematics. Candidates should have a sound background in spatio-temporal data analysis using machine learning and geostatistical approaches. Knowledge of scientific programming languages as Matlab, C, or R is important.
The successful candidate will implement a research project on the weather insurance design. The project will be financed by Swiss National Science Foundation and an ETH Zurich internal PhD-grant. The objective of the project is to enhance the methodology of theweather insurance contract design considering conditions of limited relevance and applicability of historical data. The project will focus on the application of extremal dependence analysis and elaboration of the methodology for the utilization of a priori information available in the form of climate change projections. The project will be conducted based on historical data, climate change projections and results of crop simulation models for Kazakhstan where grain producers are especially prone to risk of drought.
The basic requirements are: • A master degree in Mathematics, Economics, Agricultural Economics; • Strong background in Probability Theory and quantitative methods; • Programming skills; • Good command of spoken and written English;
As the project will be implemented in collaboration with the scientists from Russia and Kazakhstan, knowledge of Russian would be an asset but is not a prerequisite. Please send your application including CV, two letters of recommendation and (if possible) a copy of the Master thesis by January 15, 2010 to Dr. Raushan Bokusheva at the following postal address:
ETH Zurich Institute for Environmental Decisions (IED) Agri-Food and Agri-Environmental Economics Group SOL C9 Sonneggstr. 33 8092 Zurich Switzerland
The Agri-food & Agri-environmental Economics Group of ETH Zurich (www.afee.ethz.ch) invites applications for a Ph.D position. The earliest starting date of this position would be February 1, 2010.
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Each PhD student position is funded for three years (regular employment contract with full social benefits). The yearly salary ranges from a minimum of 12,724 Euro to 25,915 Euro before taxes, depending on cofunding via associated projects.
