Friday 22 January 2016

The 2016 Garden Scholarship in Surgical Sciences distance learning programme, University of Edinburgh

The University of Edinburgh will offer one Master's scholarship for the MSc in Surgical Sciences distance learning Master's programme offered by the University.
The scholarship will have a total value of £1,000, which will be deducted from the annual tuition fee for the part-time programme of study. Successful candidates who receive the award in their second year of study can re-apply for a scholarship their third year of study.

Eligibility

The scholarship will be awarded to a second or third year student enrolled on the MSc in Surgical Sciences distance learning programme at the University of Edinburgh. Applicants must be both nationals of and resident in the following countries:
  • Afghanistan
  • Angola
  • Bangladesh
  • Benin
  • Bhutan
  • Burkina Faso
  • Burundi
  • Cambodia
  • Cape Verde
  • Central African Republic
  • Chad
  • Comoros
  • Democratic Republic of the Congo
  • Djibouti
  • Equatorial Guinea
  • Eritrea
  • Ethiopia
  • Gambia
  • Guinea
  • Guinea-Bissau
  • Haiti
  • Kribati
  • Lao People's Democratic Republic
  • Lesotho
  • Liberia
  • Madagascar
  • Malawi
  • Maldives
  • Mali
  • Mauritania
  • Mozambique
  • Myanmar
  • Nepal
  • Niger
  • Rwanda
  • Samoa
  • São Tomé and Principe
  • Senegal
  • Sierra Leone
  • Solomon Islands
  • Somalia
  • South Sudan
  • Sudan
  • Timor-Leste
  • Togo
  • Tuvalu
  • Uganda
  • United Republic of Tanzania
  • Vanuatu
  • Yemen
  • Zambia
  • Zimbabwe
The countries listed above are defined as least developed nations by the United Nations Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings.

Criteria

The scholarship will be awarded broadly on the basis of academic merit and evidence of a commitment to a career in surgery. Candidates must have performed satisfactorily in the academic year of the MSc in Surgical Sciences prior to application for an award.

Applying

Eligible applicants should complete an online scholarship application.

All applications must be submitted no later than 2nd May 2016.

Postgraduate Master's Online Scholarship Application Form

Three PhD positions on Hydraulics modelling for drilling automation

In the scope of the European Union EID (European Industrial Doctorates) project HYDRA on "HYdraulics modelling for DRilling Automation" the following three vacancies for Ph.D. positions are available:
  • PhD 1: at the Department of Mechanical Engineering (in the Dynamics and Control group) of the Eindhoven University of Technology, the Netherlands, on "Automatic model reduction techniques for hydraulic drilling models: modelling for estimation & control ",
  • PhD 2: at the Department of Mathematics and Computer Science of the Eindhoven University of Technology, the Netherlands, on "Automatic model reduction techniques for hydraulic drilling models: modelling for numerical simulation ",
  • PhD 3: at the Centre Automatiques de Systèmes, MINES ParisTech, France, on  "Simplified model-based estimation of downhole parameters for drilling ".
The HYDRA project is financed by EU as an Innovative Training Program within the Horizon2020 program, in particular as a an EID (European Industrial Doctorates) project.
The scientific objective of HYDRA is to develop a framework for multi-phase hydraulic modeling and model complexity reduction for drilling operations, delivered in software directly usable in industry. The resulting models uniquely combine high predictive capacity and low complexity enabling their usage in both virtual drilling scenario testing and drilling automation.

The project partners:
  1. The Department of Mechanical Engineering at the Eindhoven University of Technology considers as the core of their activities the design, realization and analysis of new products, processes and materials. Besides the basis of (solid and fluid) mechanics, materials, dynamics and control and thermodynamics, parts of mathematics, physics, chemistry and computing science are important supporting tools. The field is explored by a combination of modeling using fundamental concepts and applied engineering and technology. High-tech Systems, Automotive Engineering Science and Energy Exploration are important departmental themes. The Mechanical Engineering Department comprises about 1000 students and 250 staff members.
In the research group of Dynamics and Control of the Department of Mechanical Engineering, research is focused on the sub-areas the dynamic modeling and model reduction for mechanical systems, model-based control of mechanical systems, dynamics and control of hybrid and nonlinear systems, networked systems, acoustics, robotics, manufacturing & energy exploration processes and automotive systems. The present vacancies play a key role within the sub-areas on the modelling and model reduction for mechanical systems and the application area of energy exploration (in particular, drilling) processes. Currently, between 20-30 Ph.D. students are performing their research within this. Hence, candidates for the open positions will find a stimulating research environment with many opportunities for interaction with colleague Ph.D. students working on topics in dynamic modeling, analysis and control.
  1.  The Department of Mathematics and Computer Science at the Eindhoven University of Technology is a place that brings motivated students, lecturers and researchers together. We train high-caliber students and conduct pioneering scientific research and our in-depth knowledge of mathematics and computer science enables us to find solutions to issues that exist within society. As part of Brainport, the 'smartest' region of the world, we also enter into special collaborative partnerships with companies and government authorities. This enables us to provide exceptional future prospects to all those who study with us or collaborate with us. The major objective of the Centre for Analysis, Scientific Computing and Applications (CASA) is to develop new and improve existing mathematical (both analytical and numerical) methods for a wide range of applications in science and engineering. This area of research is commonly known as Computational Science and Engineering. Extensive collaboration with researchers in the technical sciences as well as co-operation with industrial partners is vital. CASA has over 50 permanent staff and PhD students, and develops many professional and social activities so as to create a very lively atmosphere appreciated by visitors from all over the world.
  2. MINES ParisTech, part of PSL Research University is one of the top-rated engineering school in France, providing top-notch training to a restricted number of students. The CAS (Center for Automatic control of Systems) is a leading center in the field of Systems & Control theory, with a large variety of applications, ranging from the automotive industry to quantum control. The expertise of CAS in the field of Oil & Gas drilling and control of multiphase flow stems from 20 years of close collaboration with oil companies. Ph.D. students are at the core of the CAS’ productivity, and will benefit from a privileged environment, interacting with outstanding researchers in the field of control theory and its applications.
  3. Kelda Drilling Controls (Kelda) is an R&D-intensive startup-up company with a main mission to develop and commercialize next generation control systems for automated pressure control of drilling operations. The core of Kelda's activities are related to development advanced control systems, hydraulic modelling and system integration. Kelda has a defined strategy to actively use research as a main instrument to develop novel technology, and are currently involved in several PhD research projects, complementary to the open positions. As an industrial PhD student with Kelda, you will be working in a small team of experts and get hands-on experience on the development of cutting edge software and complex control systems. Kelda has offices in Porsgrunn and Trondheim, Norway, and internships are possible at both locations.
Project description
Societal uses for the drilling of deep wells are abundant and have enormous impact on global economies; examples include the exploration of minerals, geothermal energy, oil and gas. The future sustainable harvesting of these resources requires the exploitation of difficult-to-access, unconventional reserves and is threatened by concerns on the environmental safety and high cost of drilling operations. To overcome these threats, there are strong needs for advanced tools for virtual drilling scenario testing and drilling automation and for multidisciplinary employees with adequate technical and transferable skills.

The HYDRA EID research and training program addresses both needs by founding an intersectoral doctoral school. The consortium represents top-level expertise in all scientific and engineering disciplines needed to take on the main challenges of HYDRA: multiphase flow dynamics, model reduction, control and mathematics. Moreover, the consortium houses expertise ranging from academic research & training (TU/e, the Netherlands, MINES ParisTech, France) and industrial R&D (Kelda, Norway) to industrial practice and training (MH Wirth, Norway, and the Well Academy, the Netherlands), therewith offering a broad spectrum of training.

The scientific objective of HYDRA is to develop a framework for multi-phase hydraulic modeling and model complexity reduction for drilling operations, delivered in software directly usable in industry. The resulting models uniquely combine high predictive capacity and low complexity enabling their usage in both virtual drilling scenario testing and drilling automation. The main training objective is to launch 3 doctoral students into future leading scientific positions with an intersectoral network to support them throughout their careers.
The envisioned results form the necessary basis for revolutionary advances in the (environmental) safety and cost-effectiveness of resource exploration in Europe and beyond and will provide the human capital base for sustaining such efforts beyond this program’s lifetime.
This project involves a combined academic and industrial consortium, with Kelda Drilling Controls (http://www.kelda.no/), Norway, as the main industrial participant. Other participants are MHWirth (http://mhwirth.com) and the Well Academy (www.thewellacademy.com) .This consortium promotes industrial adoption of the technologies developed within the project.
Below, the individual focus and main goals of the three PhD position are described concisely.

PhD. 1:The main goals of this Ph.D. sub-project are:
  • Develop model reduction techniques for the automatic construction of fit-for-purpose hydraulic models that are suitable for estimation and control of pressure.
  • Implement developed model reduction techniques in software at Kelda,
  • Validate and test implemented techniques on industrial scenarios.
Supervision of this project will be taken care of by
  • Prof.dr.ir. Nathan van de Wouw
PhD. 2:
The main goals of this Ph.D. sub-project are: 
  • Develop model reduction techniques for the automatic construction of fit-for-purpose hydraulic models that are suitable for virtual drilling scenario testing,
  • Implement developed model reduction techniques in software at Kelda,
  • Validate and test implemented techniques on industrial scenarios.
Supervision of this project will be taken care of by

  • Dr. Glenn-Ole Kaasa (http://www.kelda.no/team/)

PhD. 3:
The main goals of this Ph.D. sub-project are:
Develop an accurate model for two-phase flow in pipes, amenable to model reduction,
  • Identify and perform physics-based complexity reduction opportunities,
  • Develop estimation schemes for unmeasured states and parameters of Partial Differential Equations (PDEs),
  • Validate and test techniques on industrial scenarios.
Supervision of this project will be taken care of by 
Within all three Ph.D. positions, the researchers are expected to spend 50% of their time at their hosting university and 50% of their time at Kelda Drilling Controls in Norway. This will provide the Ph.D. students with a unique opportunity to combine academic research and training with industrial R&D. Throughout the project, and especially during the visits to Kelda, we expect intensive collaboration between the 3 PhD. students.
The starting dates are flexible but ideally would be in September 2016.
Moreover, the HYDRA project will offer to the students an extensive training program on
  • Hydraulic modeling for drilling applications (at MINES ParisTech),
  • Model reduction techniques (at TU/e),
  • Managed pressure drilling applications (at Kelda) and Well control (at the Well Academy),
Providing the students with a solid background for their research and future careers.
Moreover, a training program focusing on more generic and transferable skills required by professional researchers is offered.

Job requirements

Important:The EU imposes the so-called ‘Mobility Rule’ for applicants to EID projects:
‘ at the time of recruitment by the host organisation, researchers must not have
resided or carried out their main activity (work, studies, etc.) in the country of their host
organisation for more than 12 months in the 3 years immediately prior to the reference date. Compulsory national service and/or short stays such as holidays are not taken into account.’

This implies that for the PhD students hired by the TU/e the applicant can not have resided in the Netherlands for more than 12 months in the 3 years immediately prior to the job within this project (similar for the opening at MINES ParisTech).
Ph.D. candidate 1 (PhD 1) should have
  • an M.Sc. degree in Mechanical Engineering, Systems and Control or Mathematics with a solid background in the mathematical dynamical modeling of mechanical systems, model reduction and systems and control theory.
  • a strong interest and skills in both 1) developing new fundamental theories for the model reduction of complex dynamical systems and 2) applying such novel scientific developments to industrial (drilling) applications.
  • Excellent communication skills and written/verbal knowledge of the English language.
Ph.D. candidate 2 (PhD 2) should have
  • an M.Sc. degree in Applied Mathematics or Mechanical Engineering/Systems and Control with a solid background in mathematical modeling, model reduction and scientific computing.
  • a strong interest and skills in both 1) developing new fundamental theories for the model reduction of complex dynamical systems and 2) applying such novel scientific developments to industrial (drilling) applications.
  • Excellent communication skills and written/verbal knowledge of the English language.
Ph.D. candidate 3 (PhD 3) should have
  • an M.Sc. degree in Mechanical or Electrical Engineering or Mathematics with a solid background in systems and control theory, in the dynamical modeling of mechanical systems, and in fluid dynamics.
  • a strong interest and skills in both 1) developing new fundamental theories for estimation of parameters of Partial Differential Equations and 2) applying such novel scientific developments to industrial (drilling) applications.
Excellent communication skills and written/verbal knowledge of the English language.
Interviews with the selected PhD-candidates will take place on-site at TU/e (the Netherlands) and MINES ParisTech (France).

Conditions of employment

For PhD. 1 and PhD. 2.
At the TU/e, we offer:
  • A challenging job at a dynamic and ambitious University.
  • An appointment for four years (start date as soon as possible).
  • An attractive package of fringe benefits (including excellent work facilities, end of the year and holiday allowances and fantastic sport facilities at our campus).
  • If necessary, the TU/e can help you to find housing.
  • Gross monthly salaries are in accordance with the Collective Labor Agreement of the Dutch Universities (CAO NU), increasing from € 2174 per month initially, to € 2797 in the fourth year.
For PhD. 3. At MINES ParisTech, we offer:
  • A challenging research job in a top-notch University.
  • An appointment for three years (start date September 1st 2016)
  • Gross monthly salaries are in accordance with the Allowances provided by E.U. for Early-Stage Researchers (ESRs) in France, i.e. around € 2100 per month. An outstanding work and life environment, at the heart of Paris, and access to the school’s sports facilities.

Information and application

On HYDRA in general
  • If you would like to have more information on the HYDRA project, please contact prof.dr.ir. Nathan van de Wouw (N.v.d.Wouw@tue.nl).
For PhD. position 1
Visit http://www.dct.tue.nl/vandewouw for more information about the project leader and his research activities. If you would like to have more information on the position, please contact prof.dr.ir. Nathan van de Wouw (N.v.d.Wouw@tue.nl)
For PhD. position 2
Visit http://www.win.tue.nl/~wschilde/for more information about the Prof. dr Schilders and his research activities. If you would like to have more information on the position, please contact prof.dr. Wil Schilders (w.h.a.schilders tue nl)

For PhD. position 3

Visit http://cas.mines-paristech.fr for more information about the Centre Automatique et Systèmes (CAS) and http://cas.mines-paristech.fr/~dimeglio for more information about Prof. Dr. Di Meglio and his research activities. If you would like to have more information on the position, please contact Prof. Dr. Di Meglio (florent.di_meglio@mines-paristech.fr).
To apply:
For PhD. positions 1 and 2, please upload your application by clicking on the link ‘Apply now’ for the job opening concerned on the TU/e website.
For PhD. position 3, please contact Prof. Dr. Di Meglio directly (florent.di_meglio@mines-paristech.fr) by providing the information below.
The deadline for applications is March 1, 2016, 23.59 (CET).
The information to be uploaded should include:
  • An extended curriculum vitae,
  • an explanation of your interest in the proposed research topic,
  • your course program and corresponding grades,
  • references,
  • all other information that might help us to assess your suitability for one of these positions and a publication list (if applicable).

Research Fellow: Design of a reliable and efficient communication primitive for ultra-low power wireless embedded systems, cfaed, Germany

The Cluster of Excellence 'Center for Advancing Electronics Dresden' (cfaed) offers a fixed-term position as

Research Fellow
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)

Research area: Design of a reliable and efficient communication primitive for ultra-low power wireless embedded systems


cfaed Investigators: Dr. Marco Zimmerling

cfaed research path: Resilience Path

Terms: the position starts as soon as possible and is fixed-term to 31.10.2017.
Subject to the continued third-party funding of the cluster after 2017, the extension of the contract may be possible.

The period of employment is governed by  2 Fixed-Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the chance to obtain further academic qualification (e.g. PhD).

For informal enquiries please contact Dr. Marco Zimmerling at marco.zimmerling@tu-dresden.de
Applications from women are particularly welcome. The same applies to people with disabilities.

Reference Number: PhD1511_NESG

Closing date for applications: 01.03.2016

See full announcement (PDF)


If you are interested in one of these vacancies at cfaed, please send us your full application (in English only), preferably as one single pdf-document

PhD positions in parallelizing Compilers for extreme scale HPC, University of Innsbruck, Austria

The Institute of Computer Science at the University of Innsbruck, Austria seeks for excellent Phd students to carry out research in optimizing and parallelizing compilers for C++ applications on extreme scale Supercomputers.

Required profile:

You are enthusiastic about developing and investigating innovative research ideas and systems within the discipline of high performance and extreme scale parallel computing. You have a master’s or equivalent degree in computer science with excellent performance? You are a highly skilled C++ programmer? You have a strong background in compilers or runtime systems? You stand out from your peers because of strong commitment and independent work? You are team oriented and communicative?

Note that the working and study language as well as the entire Phd course and research programme is held in English only. There is no need to learn German for this position.

The offer:

The successful candidates will join as a fully funded Phd student a vibrant research team investigating novel compiler and runtime optimization techniques for parallel C++ programs to be executed on extreme scale supercomputers.

The research of this PhD position will be conducted as part of the the EU FETHPC project AllScale (www.allscale.eu) and the Insieme source-to-source research compiler (http://www.insieme-compiler.org).

Our Phd students are given the opportunity to program some of the fastest supercomputers in Europe and gain interdisciplinary expertise by participating in national and international (EU funded H2020) projects.

The University of Innsbruck (UIBK):

UIBK is a global Top-200 university with a long history in scientific computing. Parallel and distributed scientific computing are primary research areas at UIBK. Besides numerous funded research programs in the area of HPC, in 2010 an  international doctoral school in computational interdisciplinary modelling (FWF Austrian Science Fund – Doctoral Programme) has been established where highly qualified international PhD students are trained in modelling, simulation, numerical mathematics, and techniques for parallel and distributed computing. Apart from interdisciplinary, an innovative teaching concept combined with strong international networking are key to this program. UIBK has been involved in a substantial number of national and international parallel processing, Grid and Cloud computing projects including several FP5, FP6, FP7, and H2020 projects.

Numerous application development environments, programming paradigm and tools have been created by various groups at UIBK to simplify the effective use of multiprocessor and HPC architectures as the basis for the next generation of performance-oriented and energy-aware applications. Among others the tool set includes the Insieme compiler project (http://www.insieme-compiler.org/), which is a parallelising and optimising compiler for HPC.

Application:

Applications have to be submitted by March 31, 2016 . Please direct questions and your application to
Prof. Dr. Thomas Fahringer
Institute of Computer Science, University of Innsbruck
Technikerstr. 21a, A-6020 Innsbruck, Austria
Email: Thomas.Fahringer@uibk.ac.at
URL: dps.uibk.ac.at

Postdoctoral Researcher - Human Capital Development and Rural Informatics, Swinburne University of Technology

Postdoctoral Researcher - Human Capital Development and Rural Informatics


Swinburne Sarawak, the only international branch campus of Swinburne University of Technology in Melbourne, Australia, offers its staff members an attractive remuneration package.

Interested applicants are invited to apply for the position of Postdoctoral Researcher to work on a research project entitled "Human Capital Development and Rural Informatics".

The candidate is required to independently undertake research at the highest level to develop methodology of measuring human capital development.

The main aim of the project is to evaluate the human capital development based on given rural informatics activities and training. The ability to provide in-depth understanding and in-sights into the human capital development in the rural community in relation to the pre-defined activities, training, and infrastructure will develop novel evaluation criteria of rural human capital development, specifically for Sarawak.

The requirements: 

  • A PhD in the field of Human Resource Development and/or socio-economy from a reputable university. Candidates with PhD in related area of research are encouraged to apply. 
  • A good Bachelor’s Degree in Social Science or Human Resource 
  • A strong and keen interest in rural research. 
  • A demonstrated track record of publishing in reputable journals. 
  • Ability to work closely and co-ordinate meetings with stakeholders. 
  • Ability to run qualitative and quantitative analysis using software such as SAS, SPSS, R, and Tableau. 
  • Fluent in local languages such as Malay, Iban and Bidayuh. 
  • Willingness to travel to rural area. Please refer to the Position Description 

(http://www.swinburne.edu.my/hr/docs/research/PD - Postdoctoral Researcher 0314.pdf) as it will provide a thorough detail of the job scope as well as the requirement(s) needed for the positions advertised.

The “How to Apply” (http://www.swinburne.edu.my/hr/how-to-apply.htm) section on our website indicates the steps you need to follow.

Please download the position description document for your reference. Remember to include a write-up addressing the Key Selection Criteria stated in the Position Description with your application. Inquiry can be posted to Associate Professor Dr Patrick Then at pthen@swinburne.edu.my. All applications will be acknowledged and treated with the strictest confidence.

PhD scholarship : Cloud Computing, Storage, Ericsson Canada

PhD scholarship (subject: Cloud Computing, Storage) open for application

Scholarship information

Full-time PhD scholarship 19K CAD per annum for 3.5 years subjected to satisfactory annual progress review and the University's approval. Adjustment can be made for exceptional students.

Opportunities

This project is a collaboration with Ericsson Canada and co-funded by NSERC. Successful candidate will be supervised by research teams in both Ericsson and Ãcole de Technologie Suprieure (ETS). The candidate will conduct his research in Ericsson. It will be a very good opportunity to do industrial research, which we believe is beneficial for career development for the candidate.

Project Supervision 

The candidate will work on projects in the context of Cloud Computing and Storage. The details can be discussed and decided according the competence and interest of the candidate after the recruitment. Major targets include scientific papers, patents, and prototypes, etc.

Preferred candidate's background: 

  • Candidate with a Master degree in Computer Science, IT, Software Engineering or relevant Engineering disciplines can apply. 
  • Knowledge/Experience with OpenStack, Linux IO, Clouds. 
  • Strong programming skills (students with no programming experience would not be considered). 
  • Knowledge of Machine Learning, Data Mining and Statistical Inference would be an advantage. 
  • Good written and oral communication skills in English are essential. 
  • Good analytical and critical thinking skills are essential. 
  • Knowledge of is Software Defined Storage/Non Volatile Memory/Storage Tiering a an advantage. 

Application Details

Interested candidates should send a CV and latest grades to Professor Abdel (Abdelouahed.Gherbi@etsmtl.ca) or Dr. Li (wubin.li@ericsson.com).
The position will be open until filled.