Showing posts with label Netherland Scholarships. Show all posts
Showing posts with label Netherland Scholarships. Show all posts

Monday, 29 February 2016

Postdoc position in computer systems, VU University Amsterdam

High Performance Distributed Computing Group

The High Performance Distributed Computing group has decades of experience with programming methods for parallel, distributing, and mobile computing. In the past, it produced systems like Orca, MagPIe, Satin, JavaGAT, Ibis, Cuckoo, and SWAN. The group has very strong links to application domains such as machine learning, distributed reasoning, radio astronomy signal processing, digital forensics, e-health, economy, and many others.

An important topic of current research is how to program clusters with many-core accelerators, such as Graphics Processing Units and the Xeon Phi. Another topic is programming environments for distributed mobile applications, such as distributed smartphone-based sensing and Internet-of-Things. Also, combinations of high-performance and mobile computing (e.g., parallel processing on streams of sensor data) are of great interest.


Tasks

The postdoc should do experimental research on programming environments or challenging applications in one of the areas described above. We have a unique distributed experimental testbed (DAS-5) available, consisting of 6 geographically distributed clusters, including a 68-node cluster at the VU with different types of many-cores. In addition, we have a testbed for mobile computing. The work is experimental by nature. We also expect the postdoc to help with education, for example by supervising master projects.

Requirements
Candidates must have a PhD in Computer Science (or a related area) and experience with high performance or mobile computing. The candidate must be proficient in English.


Further particulars

The appointment will be for a period of 1 year. You can find information about our excellent fringe benefits of employment at www.workingatvu.nl such as:
  • Remuneration of 8,3% end-of-year bonus and 8% holiday allowance;
  • Participation in a solid pension scheme (ABP);
  • A minimum of 29 holidays in case of full-time employment;
  • A generous commuting allowance (65%) based on public transport.

Salary
The salary will be in accordance with university regulations for academic personnel, and depending on experience, range from a minimum of € 3,168 gross per month up to a maximum of € 3,997 gross per month (salary scale 10) based on a full-time employment.

Information
For additional information please contact:
Prof. dr. ir. Henri Bal
e-mail: h.e.bal@vu.nl
phone: +31 20 59 87733

You may find the following websites useful: 

• Department of Computer Sciences http://www.cs.vu.nl/
• High Performance Distributed Computing Group http://www.cs.vu.nl/en/research/computer-systems/hpdc/index.aspx


Application

Applicants are requested to write a letter in which they describe their abilities and motivation, accompanied by a curriculum vitae and two or three references.

Please send your application to informatica.secretariaat.few@vu.nl and mention the vacancy number in the e-mail header.

Any other correspondence in response to this advertisement will not be dealt with.

Sunday, 21 February 2016

Postdoc position : Process Analytics for the European Data Science Academy

The European Data Science Academy (EDSA) is a coordination and support action of the H2020-ICT-15-2014 Big data and Open Data Innovation and take-up program. The aim of the EDSA project is to contribute to capacity-building by designing and coordinating a network of European skills centers for big data analytics technologies and business development. TU/e (Eindhoven University of Technology) is one of the nine partners in this program focusing on topics such as process mining and other types of process analytics. In this context we are looking for a Postdoc until January 31st 2018, starting as soon as possible.

Data Science Centre Eindhoven (DSC/e)

The postdoc will join the Architecture of Information Systems (AIS) group at Eindhoven University of Technology (TU/e). AIS is one of the 28 research groups of the Data Science Centre Eindhoven (DSC/e). DSC/e is TU/e’s response to the growing volume and importance of data and the need for data & process scientists (http://www.tue.nl/dsce/). DSC/e is one the largest data science initiatives in the Netherlands and therefore involved in the European Data Science Academy (EDSA). The AIS group is one of the leading groups in the exciting new field of process mining (www.processmining.org). Process mining techniques focus on process discovery (extracting process models from event logs), conformance checking (comparing normative models with the reality recorded in event logs), and extension (extending models based on event logs). The work resulted in the development of the ProM framework that is widely used in industry and serves as a platform for new process mining techniques used by research groups all over the globe. Moreover, many of the techniques developed in the context of ProM have been embedded in commercial tools. See also www.processmining.org.

European Data Science Academy (EDSA)

EDSA aims to deliver the learning tools that are crucially needed in order to educate the data scientists needed across Europe.  Comprised of a consortium of academic and industry institutions with an excellent track record in professional training in Big Data, open data, and business development; and with strong ties to a wide range of stakeholders in the global data economy, EDSA will implement a cross-platform, multilingual data science curricula which will play a major role in the development of the next generation of European data practitioners. To meet this ambitious goal, the project will constantly monitor trends and developments in the European industrial landscape and worldwide, and deliver learning resources and professional training that meets the present and future demands of data value chain actors across countries and vertical sectors. This includes demand analysis, data science curricula, training delivery and learning analytics. EDSA will provide deployable educational material for data scientists and data workers and thousands of European data professionals trained in state-of-the-art data analytics technologies and capable of (co)operating in cross-border, cross-lingual and cross-sector European data supply chains. TU/e will play an important role in the development of learning analytics based on process mining techniques. Specifically, we will monitor study behavior in detail (with careful consideration of privacy issues) and provide insights into the actual learning experience. All events captured (e.g., watching videos or making online assignments) will be stored in a “process cube”, i.e., a data warehouse holding learning-related events and having dimensions based on student attributes (age, experience, gender, nationality), deployment form, and other course characteristics. The process cube will be used to analyze differences between courses and students, e.g., create process models showing differences between students that pass and those that fail. Next to using process mining for learning analytics, the postdoc will be involved in the development of curricula and learning resources focusing on the interplay between process science and data science. Note for example the MOOC Process Mining Data Science in Action (https://www.coursera.org/course/procmin). The MOOC but also the video lectures at TU/e will be analyzed using process mining techniques.  


The postdoc will join the Architecture of Information Systems (AIS) group at Eindhoven University of Technology and focus on the interplay of process mining and data science education. The appointment will be from ‘as soon as possible’, until January 31st 2018.

Requirements

We are looking for candidates that meet the following requirements:

  •     a solid background in Computer Science or Data Science (demonstrated by Master and PhD degrees);
  •     a relevant PhD is expected (ideal candidates have a strong background in process/data mining and an interest in learning analytics);
  •     candidates from non-Dutch or non-English speaking countries should be prepared to prove their English language skills;
  •     good communicative skills in English, both in speaking and in writing;
  •     candidates are expected to realize research ideas in terms of prototype software, so software development skills are needed.

Note that we are looking for candidates that really want to make a difference and like to work on things that have a high practical relevance while having the ambition to compete at an international scientific level (i.e., present at top conferences and in top journals).

Conditions of employment

We offer:

  •     a full-time temporary appointment for a period of 36 months;
  •     salary in accordance with CAO of the Dutch universities;
  •     support for your personal development and career planning including courses, summer schools, conference visits etc.;
  •     a broad package of fringe benefits (e.g. excellent technical infrastructure, child daycare, and excellent sports facilities).

Information and Application


More information:

The full vacancy, including application form, is available at http://jobs.tue.nl/en/vacancy/postdoc-process-analytics-for-the-european-data-science-academy-254397.html

More information about this position contact dr.ir. Joos Buijs (Assistant Professor), e-mail: j.c.a.m.buijs@tue.nl or by telephone: +31 40 247 3661.
More information about the employment conditions contact drs. Charl Kuiters (HR advisor), e-mail: pzwin@tue.nl or by telephone: +31 40 247 2321.

The application should consist of the following parts:

Cover letter explaining your motivation and qualifications for the position (the letter should show an understanding of process mining and the work done within AIS, see websites such as www.processmining.org and the book "Process Mining: Discovery, Conformance and Enhancement of Business Processes");
    Detailed Curriculum Vitae;
    List of courses taken at the Bachelor and Master level including marks;
    List of publications and software artifacts developed;
    Pointer to a copy of the PhD thesis and key publications;
    Names of at least three referees.

Please apply through this website.
Applications via e-mail will not be accepted!

Monday, 1 February 2016

Leiden University Excellence Scholarship programme (LExS), Netherland

For excellent Non-EU/EEA students enrolling in a Leiden University master's degree programme and for excellent students of all nationalities enrolling in a Master of Law Advanced Programme or MSc in International Relations & Diplomacy.

For whom?

LExS awards ceremony 2014
LExS awards ceremony 2014
  1. Non-EU/EEA students enrolling in a Leiden University master's degree programme starting September 2016 or February 2017.
    All MA, MSc and LLM programmes that are mentioned on the website Master's programmes in Leiden are eligible for LExS, but note that some programmes have a start date in September only.

  2. Students of all nationalities enrolling in the Advanced Master programmes in the list below starting September 2016 or February 2017. 
    Note that the programmes listed below have a September start date only, with the exception of Advanced Studies in Air & Space Law:
     
    • Master of Laws: Advanced Studies in Air & Space Law
    • Master of Laws: Advanced Studies in European & International Business Law 
    • Master of Laws: Advanced Studies in International Tax Law 
    • Master of Laws: Advanced Studies in Public International Law 
    • Master of Laws: Advanced Studies in International Civil & Commercial Law 
    • Master of Laws: Advanced Studies in Law & Digital Technologies
    • Master of Laws: Advanced Studies in European Tax Law
    • Master of Laws: Advanced Studies in European & International Human Rights Law
    • Master of Laws: Advanced Studies in International Children's Rights
    • MSc in International Relations & Diplomacy


Additional requirements

  1. In his or her prior academic education abroad, the applicant must have achieved excellent study results which are relevant for the programme for which the student wishes to enrol. As an indication, the student will be among the top 10% for the relevant programme followed abroad. We do not need proof of this, it is just to indicate the competitiveness of the scholarship.

  2. The applicant will hold a non-EU/EEA passport and will not be eligible for support under the Dutch system of study grants and loans ("Studiefinanciering"; more information). This requirement does not apply to applicants who apply for a LExS for programmes mentioned under point 2 "For whom".

  3. Scholarships will not be awarded to applicants who have already obtained a Leiden University master’s degree with the exception of students applying for a Master programme for which a specified previous Master programme or work experience is mandatory (the LLM advanced masters qualify as such).

  4. Students who are granted a LExS must comply with and confirm in writing their agreement with the Rules and Regulations attached to the scholarship prior to the granting of the scholarship.

Scholarship Amount

The Leiden University Excellence Scholarship programme has three awards: 
  • € 10.000 of the tuition fee


  • € 15.000 of the tuition fee


  • Total tuition fee minus the statutory tuition fee

The number and type of award of the scholarship depends on the budget available for each Faculty department. The type of award has no reflection on the students' academic level of excellence. Please be aware that the LExS is not a full scholarship.

Application procedure for February 2016/ September 2016 intake

 Further Information / Online Application

Friday, 22 January 2016

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).

Tuesday, 19 January 2016

PhD Embedding digital communication in car radars, Department of Electrical Engineering, Eindhoven University of Technology

Future self-driving vehicles will often need to communicate wirelessly with other vehicles, for example to drive cooperatively in a platoon. In such settings safety-critical information (e.g. on obstacles that surface ahead of the platoon) needs to be communicated with high reliability and small latency. The current wireless communication standard, IEEE 802.11p, does not fulfil this
requirement in e.g. highly congestive situations. 

For  cooperative driving also accurate localization of vehicles is of great importance. For this purpose vehicles are increasingly equipped with radar systems, e.g. as a parking aid or for automatic cruise control. The main objective of this project is to investigate whether communication functionalities can be added to automotive radar systems, so as to overcome some of the limitations of 802.11p.
Automotive radar systems are currently typically based on frequency-modulated continuous-wave (FM-CW) signals in which frequency-modulated pulses (chirps) are transmitted. To use these systems for communication, the frequency modulation of the chirps can be changed or one out of K different chirps can be used depending on the information that needs to be communicated. A disadvantage of these methods is that the achievable data rate is limited. Alternative modulation approaches such as orthogonal frequency division multiplexing (OFDM) permit higher data rates but strongly limit the radar performance (e.g. ranging accuracy, tracking of movements). The key scientific challenge of the project is therefore to investigate how reliable radar communication can be achieved without degrading radar functionality. This will involve advanced modulation and signal-processing schemes, possibly combined with using multiple radar antennas.

The project will build on an advanced experimental automotive radar platform made available by NXP, one of the global leaders in automotive radar. The project will be carried out in part in the research laboratories of NXP Research, also in Eindhoven, and will be supervised by leading TU/e and NXP experts. 

Job requirements

Candidate profile: 
We are looking for candidates who
- have a strong MSc degree in signal processing for communications, information theory, or a related discipline;
- can bridge the distance between advanced fundamental concepts and theories on the one hand and practical implementation and
  evaluation of these concepts on the other hand;
- can think out of the box, distinguish main lines from details, and provide structure to their work;
- have excellent multidisciplinary team working and communication skills.

Conditions of employment

We offer:
  • a full-time temporary appointment for a period of 4 years, with an intermediate evaluation after 9 months
  • a gross salary of € 2173 per month in the first year increasing up to € 2778.- per month in the fourth year
  • a holiday allowance of 8% and an end-of-year bonus of 8.3% (annually)
  • assistance in finding accommodation (for foreign employees)
  • the opportunity to perform research in a large-scale joint project from a leading technical university and a leading high-tech company
  • support for your personal development and career planning including participation in the EIT doctoral training, courses, summer schools, conference visits, research visits to other institutes (both academic and industrial), etc.
  • a broad package of fringe benefits (including excellent technical infrastructure, child day care, savings schemes and excellent sport facilities). 

Information and application

Information:
Selection procedure
 If interested, please use 'apply now'-button at the top of this page. You should upload the following:
  • a cover letter explaining your motivation, background and qualifications for the position;
  • a detailed Curriculum Vitae (including a list of publications);
  • contact information of two references.
  • copies of diplomas and a list of your courses taken and grades obtained,
  • Selection will be on-going. This means that suitable candidates will be interviewed and if deemed fit, be hired immediately without waiting for applications of other candidates. 
  • Recruitment process
    After a pre-selection process based on your CV, you will be invited for face-to-face interviews
Please keep in mind; you can upload only 5 documents up to 2 MB each.

Monday, 18 January 2016

PhD studentship on active nano-optomechanics, Eindhoven University of Technology

The coupling between mechanical motion and optical fields offers very exciting perspectives both for fundamental physics and for applications. The strong optical confinement in nanophotonic cavities makes them extremely sensitive to mechanical displacements at the nanometer scale. On the one hand, this can be used to mechanically control and steer light, on the other hand it allows controlling mechanical motion with light, down to the single-photon, single-phonon level. This projects aims at opening a new avenue in optomechanics, by exploring the coupling of nano-optomechanical systems to active emitters. We will investigate the spontaneous and stimulated emission of semiconductor nanostructures (quantum dots) in photonic crystal cavities where the cavity mode is coupled to mechanical displacement. This will lead to the demonstration of tri-partite quantum systems where charge excitations, phonons and photons are mutually coupled, and of nanolasers featuring unconventional dynamical properties.

Project description

The selected candidate will perform fundamental research at the interface between nanophotonics, quantum optics and optomechanics. He/she will conceive solid-state nanophotonic structures based on photonic crystals with embedded semiconductor quantum dots and will use them to experimentally investigate the radiative emission of the quantum dots in the presence of a mechanically-oscillating optical cavity. Specific goals include the mechanical control of spontaneous and stimulated emission rates of quantum dots – crucial for quantum information processing – and the investigation of the novel dynamics expected in nanolasers where the cavity field is coupled to mechanical motion, such that it can be potentially turned into a laser emitting phonons as well as photons The project will be carried out in close collaboration with the "Photonic forces" group at AMOLF (Amsterdam), and co-supervised by Prof. A. Fiore (TU/e) and Dr. Ewold Verhagen (AMOLF).

Job requirements

We welcome applications from candidates with a Master degree in physics with top marks and with a background and interest in optics or photonics. Candidates must prove a strong attitude towards experimental physics and the drive and capacity to tackle different aspects of a complex problem with large independence.

Conditions of employment

We offer a full time appointment for four years by Eindhoven University of Technology http://www.tue.nl/en/, a gross monthly salary of
€ 2174 (first year) to € 2779 (fourth year) with end-of-year bonus of 8.3%, in line with the Collective Agreement for Dutch Universities, an attractive package of fringe benefits, including end-of-year allowance, a personal development program for PhD students (PROOF program), and excellent sport facilities.

Information and application

Applications should include:
  • A cover letter explaining your motivation and qualifications for the position
  • A detailed CV
  • A course list, including grades
  • Names and contact information of two or more references
Screening of applications will start as soon as applications are received and will continue until the position has been filled. If you are interested in this position and would like to apply, please use the Following link "apply now".