20 Postgraduate Research Positions, TU Dortmund, Germany

Collaborative Research Center SFB 876 at the TU Dortmund University
Providing Information by Resource-Constraine d Data Analysis

offers the following positions and opportunities:

Data Mining: 12 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in data mining, statistical learning, graphical models, parallel and distributed data
mining, analysis of spectroscopy data, image analysis, high-throughput data analysis, or algorithm engineering

Embedded Systems: 6 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in embedded systems, operating systems of ubiquitous systems, communication networks, energy-aware algorithms

Information Systems: 2 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in Information engineering, multi-agent systems, privacy

Fellowship: 2 SFB 876 PhD or Postdoc Fellowships for 2 to 6 months

The collaborative research center SFB876 brings together data mining and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere. The research center SFB 876 is structured into 12 interdisciplinary projects. Positions for PhD students are now available for all of these projects. For further information about the projects see:
http://www-ai.cs.uni-dortmund.de/auto?self=$fz10eqyn

Conditions of Employment for Postgraduates

Salary is according to the German Federal pay scale (TV-L 13, approx. EUR 34,000 p.a.). The positions are available from January 2011 until the end of 2012 with the possibility of extension.

Application deadline: 02/02/2011 or until a suitable candidate is found.

Women are particularly encouraged to apply. In case of equal personal aptitudes and qualification, disabled persons will be given priority.

If applicable, the successful applicants are expected to work on
obtaining a doctoral degree in the scope of this position.

How to Apply & What to Do in Case of Questions

Please address questions about the position and send your application in electronic form (PDF) by email to the project leader of the respective project and/or the speaker of the SFB876,
Prof. Dr. Katharina Morik (katharina.morik@ tu-dortmund. de)
Please, indicate in the subject line of the mail: „SFB876 application" and the project identifier.

http://www-ai.cs.tu-dortmund.de/SFB876/StellenausschreibungenSFB876.pdf

Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

18 Postgraduate research positions, TU Dortmund, Germany

The new Collaborative Research Center SFB 876 at the TU Dortmund University

Providing Information by Resource-Constraine d Data Analysis

offers the following positions and opportunities:

Data Mining: 12 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in data mining, statistical learning, graphical models, parallel and distributed data mining, analysis of spectroscopy data, image analysis, high-throughput data analysis, or algorithm engineering

Embedded Systems: 6 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in embedded systems, operating systems of ubiquitous systems, communication networks, energy-aware algorithms

Information Systems: 2 Postgraduate / Junior Researcher Positions, TU Dortmund University, SFB 876 with excellence in Information engineering, multi-agent systems, privacy

Fellowship: 2 SFB 876 Ph D or Postdoc Fellowships for 2 to 6 months

The collaborative research center SFB876 brings together data mining and embedded systems and enhances their methods such that information from distributed, dynamic masses of data becomes available anytime and anywhere.
The research center SFB 876 is structured into 12 interdisciplinary projects. Positions for Ph D students are now available for all of these projects. For further information about the projects see:
http://www-ai.cs.uni-dortmund.de/auto?self=$fz10eqyn

-----

Conditions of Employment for Postgraduates:

Salary is according to the German Federal pay scale (TV-L 13, approx. EUR 34,000 p.a.). The positions are available from January 2011 until the end of 2012 with the possibility of extension. Application deadline: 02/02/2011 or until a suitable candidate is found.

Women are particularly encouraged to apply. In case of equal personal aptitudes and qualification, disabled persons will be given priority.

If applicable, the successful applicants are expected to work on obtaining a doctoral degree in the scope of this position.

-----

How to Apply & What to Do in Case of Questions:

Please address questions about the position and send your application in electronic form (PDF) by email to the project leader of the respective project and/or the speaker of the SFB876 "Prof. Dr. Katharina Morik"
Please, indicate in the subject line of the mail: SFB876 application and the project identifier.

-----

Postgraduates for Data Mining

Project A1 Data Mining for Ubiquitous System Software: Finding usage patterns in system log data of ubiquitous systems will be tackled in two ways. First, data are aggregated by streaming algorithms at the ubiquitous system, finding patterns or motifs that are well suited for further learning. Second, the log data are analysed by graphical models (e.g., CRF, SVMstruct), regarding special kernel functions. These algorithms are parallelized for CUDA implementation. Finally, distributed clustering algorithms are investigated in order to find groups of usage patterns.
Contact: katharina.morik@ tu-dortmund. de

Project A2 Algorithmic Aspects of Learning Methods in Embedded Systems: Algorithmic foundations of learning methods in resource-constraine d systems are investigated with respect to memory models. In particular, clustering algorithms, graph algorithms, distributed algorithms, and data streaming algorithms are investigated with respect to energy consumption. Developing the theoretical basis for resource-aware learning is the focus of A2.
Contact: Christian.sohler@ tu-dortmund. de; jan.vahrenhold@ tu-dortmund. de

Project A3 Methods for the Efficient Resource Utilization in Machine Learning Algorithms: R programs are analyzed w.r.t. their resource consumption and a well-tailored compilation strategy will be developed. For diverse statistical learning algorithms the trade-off between quality of the learned model and recourse consumption will be determined. In particular, problems of model selection, feature selection will be investigated.
Contact: joerg.rahnenfuehrer @tu-dortmund. de

Project TB1 Resource-efficient and Distributed Platforms for Integrative Data Analysis: The analysis of spectroscopy data from a breath sensor for the timely disease diagnosis requires an online method for feature extraction, alignment methods, and prediction of spectra. High-throughput data analysis, bioinformatics, and online algorithms are the fields that contribute to developing smart wear including a breath sensor.
Contact: sven.rahmann@ tu-dortmund. de

Project B2 Resource-optimizing time analysis of artifactious image sequences for the detection of nano objects: Plasmon assisted microscopy of nano objects (PAMONO) is a new sensor measuring extremely little objects. The PAMONO images are to be analysed in order to detect and classify viruses. The images are suffering from noise. Cleaning the data, comparing image analysis algorithms regarding their recognition capabilities and their respective resource consumptions are the tasks of data mining in this project.
Contact: heinrich.mueller@ tu-dortmund. de
Alexander.zybin@ isas.de

Project C1 Feature Selection in High Dimensional Data for Risk Prognosis in Oncology: Ensemble methods are to be investigated, in how much they increase the stability of feature selection in high dimensional data where much less examples are given than features. Sets of exons (several exons make up for a gene) are to be clustered w.r.t. the oncology prognosis. Transfer learning will be evaluated concerning example sets stemming from different methods and collections of patients. Co-training will combine and fuse divers studies on exons or genes for neuroblastoma patients.
Contact: katharina.morik@ tu-dortmund. de

Project C2 Multi-level statistical analysis of high-frequency spatio-temporal process data: High-frequency high-dimensional process data are typically analyzed in several steps. Interesting data need to be identified and selected in real time for further analysis because of limited storage capacities. By means of the challenging example of detection and classification of astrophysical particles appearing as transient patterns in spatio-temporal data, we want to construct robust generalizable techniques for reduction, classification and modeling of such data, as well as strategies for the suitable combination of these analysis steps.
Contact: roland.fried@ tu-dortmund. de; wolfgang.rhode@ tu-dortmund. de

Project C3 Regression approaches for large-scale high-dimensional data: The scalability of modern regression approaches is often stretched to its limits by a large number of observations and/or variables. This aggravates their use in embedded systems. The goal of this project is therefore the development of highly efficient regression methods. Algorithms are to be developed that reduce the number of observations using, e.g., random linear projections and sampling (streaming algorithms), or the dimensionality of the underlying, possibly Bayesian, model classes imposing structural constraints, e.g., monotonicity.
Contact: katja.ickstadt@ tu-dortmund. de; christian.sohler@ tu-dortmund. de

-----

Postgraduates for Embedded Systems

Project A1 Data Mining for Ubiquitous System Software: Instrumenting the operating system of ubiquitous systems for data gathering is difficult, since logging the data must not disturb the regular use of the system. The instrumentation must be platform independent. New methods based on Dynamic Aspect C++ are to be developed and optimized regarding resource consumption. Applying learned models to the operating systems requires a generic framework so that efficiency is actually enhance by them.
Contact: olaf.spinczyk@ tu-dortmund. de

Project A3 Methods for the Efficient Resource Utilization in Machine Learning Algorithms: This project builds a bridge between learning algorithms in terms of R programs and resource efficiency. Based on an internal representation of R, optimizations of the compiler are to be developed that take into account memory allocations. The optimized internal representation is then transformed until a stanrad compiler and C++ libraries produce resource-efficient code.
Contact: peter.marwedel@ tu-dortmund. de

Project A4 Resource Efficient and Distributed Platforms for Integrative Aata Analysis: This project explores technical and conceptual foundations for distributed execution platforms that are self-descriptive regarding their provision and consumption of resources. In particular, the description of resources like memory, power consumption, bandwidth, or runtime constraints is of special interest. Due to the platform's ability to describe itself, applications have a valid basis for resource-aware decisions and hence are enabled to optimize their resource requests. The major challenge of this approach is to deal with the vast complexity of embedded platforms and dynamic interactions between the resource types envisaged.
Contact: peter.marwedel@ tu-dortmund. de; christian.wietfeld@ tu-dortmund. de

Project B2 Resource-optimizing Time Analysis of Artifactious Image Sequences for the Detection of Nano Objects: The platform from project A4 is enhanced. Here, FPGA approaches and implementations for GPGPU are developed. In order to gain independence from various multiprocessor architectures, a high-level synthesis and multi-objective optimization of hardware-software partitionings are to be investigated.
Contact: peter.marwedel@ tu-dortmund. de

Project B4 Analysis and Communication for Dynamic Traffic Prognosis: This project researches innovative, high precision and real time prognosis algorithms to predict object stream behaviour. The quality of the prognosis depends on the quantity, quality and reliability plus synchronicity of the available information on representative objects in the stream. In consideration of the avaiability of the multitude of sensor data sources as well as resource starved embedded systems, this sub-project also explores novel data aggregation, fusion and communication methods with respect to the requirements set by the prognosis, and evaluates the expected benefits.
Contact: christian.wietfeld@ tu-dortmund. de; schreckenberg@ ptt.uni-due. de

-----

Postgraduates for Information Engineering

Project A5 Exchange and Fusion of Information under Availability and Confidentiality Requirements in Multi-Agent Systems: Achieving both availability and confidentiality of information implies the development and employment of concepts and algorithms that handle conflicting security issues of actors and persons. This should be possible even in situations with limited technical infrastructure in terms of time, space, and communication. This project aims at extending data base techniques to multi-agent systems oriented towards the approach of J.Y. Halpern and K.R. O?Neill (2005, 2008), in particular for the purpose of data mining in embedded systems.
Contact: joachim.biskup@ tu-dortmund. de
gabriele.kern- isberner@ tu-dortmund. de

-----

C: SFB/TR 8 Postdoc Fellowships for 2 to 6 months

The research center SFB 876 offers fellowships for visiting postgraduate or postdoctoral researchers for a lump sum of EUR 3,000 per month. Candidates from all over the world and with excellence in computer science particularly in data analysis or embedded systems will be considered, if they demonstrate potential to engage in innovative research together with SFB 876 researchers and students. Applicants need to propose a research program for two to six months, linked to one or more of the SFB 876.
Contact: katharina.morik@ tu-dortmund. de ; Wolfgang.rhode@ tu-dortmund. de

Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

Research position (PhD or postdoc) on scalable mining

Title: HiPerDNO Data Mining Research Associate
Grade: 7 (Salary in range £ 28,983 - 35,646pa)

This position is based at the Oxford e-Research Centre (OeRC, http://www.oerc.ox.ac.uk) and within the EC FP7 'High Performance Distributed Network Operation' (HiPerDNO) project, which brings together researchers in electricity distribution networks, electrical engineering, and computing science from Brunel, IBM Haifa, and Oxford, as well as European energy companies (EDF, Electricite de France, Union Fenosa, Indra, Gtd, Korona, Elektro Gorenjska, and Iset).

Future electricity distribution networks with mass deployment of network equipment sensors and instrumentation, millions of smart meters, small-scale embedded generation, and responsive load will generate vast amounts of data requiring near to real-time analysis. It is the aim of this project to develop a new generation of distribution network management systems that exploit novel near to real-time high
performance computing (HPC) solution. The approach of this project is to employ cloud computing that will enable scalable data mining, feature extraction, and near to real-time state estimation.

Duties and Responsibilities:

The position will be concerned with research and implementation of cutting edge data processing techniques within an HPC environment. The successful candidate will primarily collaborate with

Dr. Dan Olteanu of the Oxford University Computing Laboratory,
(http://www.comlab.ox.ac.uk/people/Dan.Olteanu)

who will lead the project research on uncertain data mining. It is also expected that the post-holder will closely work with the Parallel Systems position within the OeRC on this project to ensure that the implementation of their algorithms and software is optimised for performance and use of resources on the HPC systems made available.

HiPerDNO is an international collaboration; hence it is required to travel to meetings at the various partner sites for both shorter and longer durations. That includes the HiPerDNO final year demonstrations and on-site tests.

The post-holders main duties will include:
* Undertake research and development in the area of mining uncertain data streams with the techniques to be implemented on HPC architectures;
* Collaborate closely with Dr Dan Olteanu on data management research and with the parallel systems team to optimise the efficiency of the developed algorithms and software;
* Take responsibility for dissemination of project deliverables through the project website, events, and publications;
* Publish in appropriate journals and conferences the results of developed systems and software.

Selection Criteria

Candidates will be judged on the basis of the following criteria and their applications should address each point to show how their experience and skills meet the criteria. We encourage applications at both PhD and postdoc level.

Essential Criteria:

* A higher degree, preferably a doctorate, in a relevant subject such as Computing Science, Engineering Science, Physics, Mathematics or equivalent industrial experience;

* Knowledge/experienc e of the following:
- Detailed knowledge of data management theory and/or systems.
- Good knowledge of machine learning and/or data mining techniques.
- Good programming skills using modern languages and technologies;
* Track record of published work appropriate to your age and work experience;
* Experience of carrying out independent research/development.
* Willingness to work effectively as a team member and to supervise less experienced team members, should the occasion arise.
* Good communication skills, both oral and written.

Desirable Criteria:
* Knowledge of uncertain/probabili stic data management;
* Parallel systems (including hardware), environments and computing;
* Knowledge/experienc e in power system engineering.

Further details:

Requirements under UK Border Agency's points-based migration system:

1. Points requirement
Applicants who would need a work visa if appointed to the post are asked to note that they will need to demonstrate that they have sufficient points, and in particular that:
* they have sufficient English language skills (evidenced by having passed a test in basic English, or coming from a majority English-speaking country, or having taken a degree taught in English)

* that they have sufficient funds to maintain hemselves and any dependants until they receive their first salary payment.

Further information is available at:
http://www.ukba.homeoffice.gov.uk/workingintheuk/tier2/generalarrangements/eligibility/

2. Data protection
All data supplied by applicants will be used only for the purposes of determining their suitability for the post and will be held in accordance with the principles of the Data Protection Act 1998 and the University.s Data Protection Policy.

Please send completed application form, CV and with covering letter to: the Personnel Manager, OeRC, 7 Keble Road, Oxford OX1 3QG (tel: 01865 610621 fax: 01865 610624)
email: recruitment@ oerc.ox.ac. uk

Complete applications must be received by 12 noon on March 24th, 2010.

Applicants should note the OeRC will only reimburse full travelling expenses within the British Isles for those candidates selected for interview. Any offer of employment will be subject to the satisfactory completion of a medical questionnaire.

Oxford University is an Equal Opportunities Employer.

Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

JOB: Research Positions Computer Science, HP Labs, China

HP Labs China is now seeking global top talents to fill its two open Research positions. HP Labs is the company’s central research organization with a mission
in delivering breakthrough technologies and technology advancements that provide a competitive advantage for HP, by investing in fundamental science and technology in areas of interest to HP.

Job – Research
Primary Location - Beijing, China
Schedule - Full-time
Language - English

HP Labs China is focused in the web and rich content technology to help users to turn data on the web and in organizations into valuable information. The research areas of
interest include data intensive computing, large scale data management, data mining, high performance computing, web structure and usage mining, content classification and clustering, information extraction, video understanding and processing. Candidates are expected to hold a Ph.D. degree in Computer Science with a solid background and a strong publication record in a research field related to the aforementioned areas. An ideal candidate is one who has an extended independent research experience in the relevant areas.

For consideration, please forward your resume to Dr. Min Wang (min.wang6@hp.com).

About HP Labs China, HP Labs, and HP:

HP Labs China (HPLC), located in Beijing, was established in 2005 and strategically situated in the high-tech area of Zhongguan Chun in Beijing, the Capital city of China. HPLC is part of the larger HP Labs (HPL), which is HP’s central research organization. HPL is an international research organization, with labs in China,
India, Israel, Russia, Singapore, United Kingdom, and United States, promising rich career experiences. As the world’s largest technology company, HP creates technology
solutions that provide new possibilities for consumers and businesses with a portfolio that spans printing, personal computing, software, services and IT infrastructure.

HP Labs China
5F, Block A, SP Tower
No. 1 Zhong Guan Cun East Road, Haidian District
Beijing 100084, P.R. China
Phone: +86 10 8217 4000
Fax No: +86 10 8217 4063
http://www.hpl.hp.com/china/


Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

Research Positions in Agricultural Innovation Processes

RIU is a research and development programme designed to put agricultural research into use for developmental purposes and to conduct research on how to do this. The programme is funded by the UK Department for International Development (DFID). It follows earlier investments by DFID in agricultural and natural resources research supported through its renewable natural resources research strategy (RRNRRS). While this strategy delivered high quality research the uptake of this research and its impact on social and economic progress was modest.

RIU has appointed the LINK programme (www.innovationstudies.org) of UNU-MERIT (www.merit.unu) to act as its Central Research Team (CRT) with overall responsibility for designing and implementing its research. The CRT is headed by Dr. Andy Hall. Research in Africa is coordinated by Dr. Jeroen Dijkman. Research in Asia is coordinated by Dr. Rasheed Sulaiman.The CRT now wishes to appoint up to 6 research fellows from Asia and Africa to help study RIU´s portfolio of activities in these regions.

These positions would suit junior to middle-level research professionals who are interested in undertaking and publishing empirical research on agricultural and rural innovation. Research fellows will need to be able to work with a large degree of independence and deliver high quality written output. Support and mentoring will be provided by the CRT. Positions could be full or part-time.

Candidates should have: Research experience on agricultural and rural innovation policies and processes A recent relevant PhD is desirable, but candidates with a strong relevant publication record would also be consideredPositions could be full or part-time.

These positions will be located in the regions where RIU works. Appointments will be made as personal services agreements (PSA) with UNU-MERIT. RIU is sponsored by the UK Department for International Development (DFID) until June 2011.Candidates should submit a CV and covering letter to Christine Wheeler (c.wheeler@nrint. co.uk) from whom further details are available on request.

For more information, please read http://www.careercenter.ait.ac.th/studies-exchanges/further-education/researchfellowsinformation.pdf

Dr. Handoko Adi Susanto, MSc. Wildlife Conservation Society (WCS)
Indonesia Marine Program
Jl. Burangrang No. 18, Bogor 16151 Indonesia
Phone: +62 251 831 6307 Fax: +62 251 8357 347
Email: handoko.susanto@ cbn.net.id
Website: www.wcsmarine-indonesia.org

Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

Research Positions, Zukunftskolleg - University of Konstanz, DL November 30, 2009

The University of Konstanz is one of the nine Universities of Excellence in the Federal Republic of Germany. The Zukunftskolleg is a central scientific institution of the University of Konstanz for the promotion of young scientists.

We are offering 5 Research Positions (Salary Scale 14 TV-L - Reference number 2009/130)

for the development and implementation of individual research projects/research groups. The initial appointments will commence on April 1, 2010 and end on September 30, 2011. An extension of the work contract for an additional 3.5 years will be financed by the Zukunftskolleg, provided, that substantial external third-party funding for a research project has been granted.

The Zukunftskolleg provides a professional infrastructure and an appropriate
workplace for conducting research. A pool for funding cooperative projects, research assistants, research trips and the acquisition of equipment is available.

Additionally, fellows may nominate recognized experts in their field of research as senior fellows, who will be invited to Konstanz for a period of 3-12 months and who, in addition to their research work, will advise young scientists in the Zukunftskolleg. The prerequisites for acceptance are a doctoral degree and outstanding scientific qualification as documented by research activities and publications.

The ideal candidate has just finished her /his dissertation or has acquired initial work experience as a postdoctoral researcher. International experience in teach ing or research and a strong interest in interdisciplinary topics are desirable. Each fellow is a member of both a department of the university and the Zukunftskolleg.
Involvement in teaching is possible. The foreseen topical connection of the project to the research profile of the University of Konstanz should be demonstrated in the project outline.

Fellows will be selected on the basis of their project outlines and a two-day workshop to be held on February 22-23, 2010 at the University of Konstanz. Information about the fellowships and additional opportunities for participation in the Zukunftskolleg are available on our website:

http://www.uni-konstanz.de/zukunftskolleg.

The full-length version of this announcement is available at:
http://www.uni- konstanz. de/stellen.

Applicants should send their application form, their project outline, a letter of motivation, application documents and a reading excerpt in English as a PDF file (one file per applicant only!) to: zukunftskolleg@ uni-konstanz. de.

Deadline: November 30, 2009

Please quote 10 Academic Resources Daily in your application to this opportunity!

Join us and get free scholarship information to your inbox. Fill in the form below with your email address:

Delivered by FeedBurner

Research Vacancies at LabMath-Indonesia

The research positions announced below are related to a research project funded by the KNAW, the Royal Netherlands Academy of Art and Sciences.

Supervision of the research will be done at LabMath-Indonesia by the senior staffs in this project:
Prof. Dr. Sri Widiyantoro (SW, ITB),
Dr. Hamzah Latief (HL, ITB),
Dr. Andonowati (ITB & LMI),
Prof. Dr. Brenny van Groesen (BvG, LMI & UTwente), Dr. Ardhasena Sopaheluwakan (AS, LMI).

Aim of the project is to perform original research that will be published in international journals and that is directly relevant to improve tsunami simulations. In fact, it is generally accepted that at present, tsunami simulations have errors of a factor of two when compared to field measurements. One of the causes of these errors is the generation phase: the translation of the motion of the ocean bottom to the resulting disturbance of the water: the tsunami generation process. At least five research positions are available to support the research project into various aspects of this problem:

1. Benchmarking of Tsunami Codes We will compare the results and performance of two tsunami codes: the well-validated code of Hamzah Latief (ITB Tsunami Research Group) and the recent Variational Boussinesq Code developed at LabMath-Indonesia. Supervisors: HL , AS & Didit Adytia.

2. Wave generation by bottom excitations Tectonic ocean bottom motions will possibly generate a tsunami. We will use theory and simple simulations to learn about the horizontal influx effects that are usually neglected but may give large energy input. Supervisors: BvG & Didit Adytia.

3. Principles of Inverse Water Wave Modelling We use a new model for fast and reliable uni-directional wave motion to study all aspects of \'inverse\' modelling: given the elevation signal at one place, find the signal at the moment of excitation at another position. Supervisors: BvG & AS

4. Inverse modelling using buoy data for bottom excitation As in the previous topic, but now we use real data from measurements by buoys (deployed by Indonesia) to try to find characteristics of the tsunami generation area and the excitation process. Supervisors: HL , SW, AS & BvG.

5. Bottom excitation from seismic data How much information can we extract from seismic signals about the (time-dynamic) bottom excitation. Literature search, simple models and signal analysis. Supervisors: SW & BvG.

REQUESTED QUALIFICATIONS

Candidates should be eager to be involved in this research and learn many new topics and ideas. They should have good knowledge of calculus/ analysis including ordinary and partial differential equations, and be experienced in programming, for instance in Matlab. Students or graduates with good grades in S1 or S2 from mathematics,
physics, oceanography, geosciences, engineering etc can profit very much from this research experience. A sound scientific attitude (critical, inventive and independent) should be accompanied by a strong motivation and disciplined work attitude.

APPLICATION PROCEDURE

Candidates should send an updated CV, a copy of last degree and academic record, proof of English proficiency and letter of motivation before 15 June 2008 by email to: Dr. A. Sopaheluwakan: ardhasena_at_ labmath-indonesi a.or.id with cc to
Prof. van Groesen: groesen_at_labmath- indonesia. or.id.

RESEARCH POSITIONS: OFFER
The researches are executed at LabMath-Indonesia, Jl. Anatomi 19, Bandung. Including a one-month probation period, the positions are at least for a period of 3 months (full-time) up to one year (possibly part-time). If desired, we will support your personal development, including improvement of English when needed, and support to find continued study abroad (MSc or PhD). During the execution you will get valuable
experience in mathematical modelling and simulation in this exciting area in geosciences, and will work in a stimulating environment. The salary will depend on qualifications and performance.

This vacancy is also available online at www.labmath- indonesia. or.id

LabMath-Indonesia
international@ labmath-indonesi a.or.id


Please quote 10 Academic Resources Daily in your application to this opportunity!

If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.

Research Assistant Position at Universiti Teknikal Malaysia Melaka

Position: Research Assistant (RA)

Contact Person: (i) Dr. Anton Satria Prabuwono (antonsatria@ utem.edu. my) or
(ii) Mr. Burhanuddin Mohd (burhanuddin@ utem.edu. my)

Location: Industrial Computing Department, Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, Locked Bag 1200, Hang Tuah Jaya, Ayer Keroh, 75450 Melaka, Malaysia.

Project Leader: Dr. Anton Satria Prabuwono

Responsibilities:
· To apply decision making models on Failure Based Maintenance for Small and Medium Industries in Malaysia.
· To develop real-time Computerized Maintenance Management System.
(All technical specification including design of the framework, mathematical formulae & functional requirements will be given in detail through out the supervision)

Job Description:
· The RA must help the project leader in all works associated with the research.
· The RA is expected to register for a Master Degree by Research program (M.Sc.) with Universiti Teknikal Malaysia Melaka (UTeM).
· The salary will be RM1300/month (tuition fees excluded).
· The period of tenure will be 24 months (maximum).

Requirements:
A good Bachelor¢s degree in Computer Science/Computer Engineering/ Informatics/ Electrical Engineering, or related discipline (CGPA > 3.0) and the potential to develop strong research program in the above research area. Fresh graduates with good results are encouraged to apply.
Good programming skills, particularly in VB.NET, VB6, VC++ and SQL.
Good English proficiency.
Self-motivated, requires minimal supervision, resourceful and willing to learn.
Experience using .NET in developing multi-tier application will be added advantage.
Interested candidates are required to submit their curriculum vitae complete with the academic transcripts via e-mail to Dr. Anton Satria Prabuwono (antonsatria@ utem.edu. my) and Mr. Burhanuddin Mohd (burhanuddin@ utem.edu. my) by 9th March 2008. Any enquiries should be forwarded direct to the above e-mail addresses.

Only short-listed candidates will be notified.

[sursa beasiswa]

If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.

Vacancy for 3 Research Assistants in Operations Management/ Supply Chain Management

The Research Center for Operations Management of KULeuven Faculty of Business and
Economics (Belgium) is looking for 3 full-time research assistants (m/f) for scientific research in the area of operations management or supply chain management (OM/SCM). This research should lead to a PhD-degree.

Positions 1 and 2: These 2 positions are offered for a 4-year period starting October 1, 2008 (position 1) or September 1, 2008 (position 2) A variety of research topics within the field of OM/SCM are possible (e.g. within the areas of supply chain coordination, inventory management, lot sizing, etc.). The research will be conducted under guidance of Profs. Marc Lambrecht (position 1) or Inneke Van Nieuwenhuyse (position 2).

Position 3: The research will be conducted under a research grant from the Fund for
Scientific Research Flanders, under guidance of Prof. Erik Demeulemeester. It concerns the topic “The design of efficient and effective algorithms for capacity planning in the health care sector”. The position is offered for a 4-year period starting September 1, 2008.

Candidates should have a strong interest in operations management and preferably hold a Master’s degree in Applied Economics, Econometrics, Economics, Mathematics, Computer Science, Civil Engineering or Industrial Engineering. An average degree of “distinction” during preliminary studies is required as well as an appropriate command of written and spoken English.

Experience with at least one programming language is an asset. Students that are currently in the final year of their Masters are especially encouraged to apply.

You will find a dynamic and pleasant working environment, in a group that is actively involved in scientific research at the highest international level.

For further information, please send an email to either: inneke.vannieuwenhu yse@econ. kuleuven. be or marc.lambrecht@ econ.kuleuven. be (for positions 1 and 2) or erik.demeulemeester @econ.kuleuven. be (position 3).

We expect an application file with motivation, a curriculum vitae, and the listings of your exam results. Documents are made available through the K.U.Leuven Application Procedure. Consult: http://www.kuleuven .be/personeel/ jobsite/vacature s.htm (on this website, you can switch to English, code 50007087 (position 1), code 50005996 (position 2) and code 50596077 (position 3))

[sursa beasiswa]

If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.

2 Research Positions in Evaluation and Development of Urban S

*2 Research Positions in* *Evaluation and Development of Urban Surface Energy Balance Models King's College London*

An extensive number of urban land surface schemes (ULSS) have been developed. Two new projects aim to undertake a comprehensive assessment of these schemes.

· *Position 1* (NSF Funded) involves the evaluation of the urban parameterization in the Weather Research and Forecast (WRF) model [a joint project with Arizona State University, USA]

· *Position 2:* (UK Met Office funded) involves the co-ordination of an international ULSS model intercomparison study [a joint project with the UK Met office and University of Reading] (
http://www.kcl. ac.uk/ip/ suegrimmond/ model_comparison .htm).

The two posts are each available for 24 months. The post holders are required to be highly numerate with science or engineering research experience and programming ability (Fortran and/or MatLab). Excellent English (written and spoken) is essential as both will involve extensive communication with partners located around the world. There may be opportunities for foreign travel. Experience in one or more of: modelling land-surface atmospheric exchanges, atmospheric science, urban climatology,
and/or model evaluation will be advantageous.

The appointment will be made on the RA1A or RA1B scale, £23,800 pa to £27,162 pa* *inclusive of London Allowance, depending on qualifications and experience

* *

*Applications Process: *Informal enquires to Prof. Sue Grimmond are welcomed (*E:* Sue.Grimmond@ kcl.ac.uk; *W*: http://www.kcl. ac.uk/ip/ suegrimmond/ index.htm). Further details and application packs are available on the College's website at

<
http://www.kcl. ac.uk/depsta/ pertra/vacancy/ external/ pers_detail. php?jobindex= 6219>,
<
http://www.kcl. ac.uk/depsta/ pertra/vacancy/ external/ pers_detail. php?jobindex= 6220>
, by emailing strand-recruitment@ kcl.ac.uk or faxing 020 7848 1352. Formal applications must be made using the forms contained therein.

Please quote reference number *W1/DAR/182/ 07 (NSF funded) and W1/DAR/183/07 (UK Met Office) *on all correspondence. If you would like to be considered for both please put both reference numbers on a single application.

* *

*The closing date for receipt of applications is 30 November 2007.*

* *

*Equality of opportunity is College policy.*
Professor Sue Grimmond
King's College London

Environmental Monitoring and Modelling Group
Department of Geography
The Strand, London WC2R 2LS, United Kingdom
phone : 44 20 7848 2275 fax: 44 20 7848 2287



[sursa beasiswa]

If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.

4 Research positions with possibility for PhD -- Kiel (Germany)

4 Research Positions

Christian-Albrechts -University, Department of Agricultural Economics, Kiel (Germany)

At the Department of Agricultural Economics of the Christian-Albrechts -University in Kiel the following positions have to be filled as soon as possible:

4 research positions salary according to BAT IIa (75% for junior researchers)

the positions are limited for 2 years with the possibility of extension. Moreover, researchers have the possibility to obtain a PhD degree in agricultural economics or economics.

Work description: All positions are linked to the interdisciplinary EU-research project „Advanced-Eval“ , which develops and applies advanced methods for the ex ante und ex post evaluation of EU-rural development policy programs. At the methodological and theoretical level the following research topics are of interest within the project:

1. Agent-based Modeling of rural economy as a complex social and economic system incorporating social network relations among agents. In particular, the following research questions are addressed: How can the organization of economic action in social network relations be modeled quantitatively. What is the impact of social network relations on economic performance at the micro- and macro-level.

2. Applied Econometrics. Application of propensity-score matching methods and methods of spatial econometrics to analyze ex post the economic impact of various rural development programs.

3. Political Economy Modeling of EU-Rural Development Policy (EU-RD policy). Quantitative analysis of the impact of formal and informal political institutions on local government performance regarding the implementation of EU-RD policy. Empirical hypotheses are derived from game-theoretical or agent-based models of political decision making.

4. Simulation of an Economic-Ecological System based on a Multi-Agent- model. Incorporation of RD-policies into an economic decision-making model of farmers and a model of implied biological and physical processes at the regional level.

Researchers are directly integrated into a international and interdisciplinary research team within the EU-Project Advanced-eval. Moreover, all positions have access and are related to the Interdisciplinary Center of Numeric Simulation in applied Sciences as well as the DFG-Graduate School „Loosely connected systems and
Electronic E-Business“ at the CAU.

A master degree or a comparable University degree in agricultural or food economics, Economics or social science, mathematical or computational economics is essential. A good knowledge in quantitative methods of economics or social science, Agent-based Modeling or positive political theory would be an asset.

The University seeks to increase the proportion of women on its staff and applications by suitably qualified female candidates will be preferred. Qualified candidates with physical disabilities will be given preferential consideration.

Please send applications and accompanying documents in the English language to:

Prof. Dr. Dr. Christian Henning, Institut für Agrarökonomie,
Wilhelm-Seelig- Platz 7, D-24098 Kiel
or via e-mail to uschwarz @ agric-econ.uni- kiel.de

Application has to be received by 30. October 2007.

[sursa beasiswa]

If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.