موقعیت‌های خالی در دانشگاه‌های خارج از کشور

[quest]

سلام دوست عزیز
فکر نمی کنی بهتره سایتی رو معرفی کنی که خودمون بریم اونجا این position ها رو ببینیم.
فکر کنم اینطوری مصداقه "یاد گرفتن ماهی گیری باشه" به جای "ماهی دادن"

راستی من میخام در PhD روی watermarking کار کنم چه طوری توی گوگل سرچ کنم؟
مرسی
با تشکر

سلام. من فکر کنم خود watermarking از اون زمینه هایی باشه که یه کم قدیمی شده و شاید خیلی سخت بتونی موقعیت دکتری پیدا کنی واسش. خودت را زیاد محدود نکن به موضوع خاصی. کلا زمینه های پردازش تصویر و computer vision را سرچ کن. اینم یادت باشه که ما اونقدرها امکان انتخاب نداریم که توی یه زمینه خاص phd کار کنیم. فقط کلیتش دست خودمونه.

[nima56]

سلام دوست عزیز
فکر نمی کنی بهتره سایتی رو معرفی کنی که خودمون بریم اونجا این position ها رو ببینیم.
فکر کنم اینطوری مصداقه "یاد گرفتن ماهی گیری باشه" به جای "ماهی دادن"

راستی من میخام در PhD روی watermarking کار کنم چه طوری توی گوگل سرچ کنم؟
مرسی
با تشکر

سلام
نمی دونم منظورت من بودم یا دیگری.
روش ماهیگیری به این صورت است که باید به website دانشگاهی که دوست داری بروی و دنبال vacant position یا job position ، PhD position باشی و اگر چیز مناسبی برای خودت پیدا کردی آن وقت اقدام میکنی و اگر موقعیت مناسبی برای دیگران دیدی هم بهتره آن را درAA اعلام کنی.
گاهی هم در سایت های Jobs.ac.uk یا free scholarship هم مورد بدرد بخوری پیدا میشود ضمنا میتونی عضو شوی و با ایمیل بهت اعلام بشه.
اگر سایتی پیدا کردی که همه این position ها را داشته باشد به من هم اعلام کن تا این همه دچار سختی نشوم.
به عنوان مثال چک کردن تاریخ آگاهی ها ،اطمینان از تکراری نبودن آنها، تشخیص گرایش آنها( که گاهی هم مشکل است چون از title نمیتوان گرایش را تشخیص داد) یا یک موقعیت برای چند گرایش مفید است،بعضی موارد هم آگهی مربوط به غیر اروپایی ها نیست که باید توجه داشت.ضمنا در مواردی آگهی به زبان انگلیسی نیست و website دانشگاه هم آن را به زبان سوئدی یا آلمانی یا نروژی آورده.ویرایش متن برای ارسال درAA و ... .همچنین در زمانهایی این vacant position ها با email از دوستان یا استادان هم به دستم میرسد.
در آخرباید بگم درست است که من آدرس بعضی را favorite کردم ولی من راحت و آماده از جایی یا وب سایت واحدی این ها را copy و paste نمیکنم و من برای هریک این گونه وقت می گذارم.

[ahmadpeik]

Empa is a materials science and technology research institution of the ETH domain. Our Structural Engineer-ing Research Laboratory offers a

PhD Position in Computer Science

Please send your
application to

Empa
Dr. Olga Saukh
Structural Engineering
Überlandstrasse 129
8600 Dübendorf
Switzerland

olga.saukh@empa.ch

www.empa.ch/abt116


In the last several years wireless sensor networks (WSN) gained much attention as a new and promising technique for monitoring purposes. Even though there is significant research on the development of wireless sensor networks technologies and on civil infrastructure reliability and management, there is little activity in performing multidisciplinary research for developing integrated smart and dynamic systems for effective management of the built and natural environment. The EU-funded research project SmartEN aims to explore this topic. The goal of this Ph.D. position is to investigate the challenges of using wireless sensor network technology for long-term monitoring of civil infrastructure including the following topics:

Solving the problem of choosing the number and the locations of individual sensors and sensor nodes re-specting the properties of wireless communication, sensing range and construction specifics. This research should rely on the model of the structure and measured environmental characteristics.
Solving optimization problems of sensor data measurement schedules and data collection strategies in or-der to maximize the data delivery rates and to provide a desired QoS level. Energy-efficiency and high data availability are the primary goals.
Development of a framework which allows for a convenient deployment and configuration of the sensor network and analysis of sensor data.
The wireless sensor network group of Empa has a long experience in all these research fields and offers fantastic possibilities to evaluate the system performance on different real-world objects. The research results should be published and presented at high-quality conferences and journals.



This Ph.D. position presumes and supports a high level of interaction and collaboration with other re-searches in the field of WSN hardware and software development, structural health monitoring and non-destructive evaluation. We are looking for a candidate with

M.Sc. in Computer Science or Electrical Engineering with outstanding marks in Computer Science
Some knowledge in the field of wireless sensor network
Strong motivation and ability to carry out research in an interdisciplinary and international environment
Strong communication skills and willingness to work in a team
fluent proficiency in both written and spoken English
good spoken German is desired


To apply, please send your application in electronic form including a letter of motivation, your CV incl. diploma, and names and contact information of references to Dr. Olga Saukh.






Materials Science & Technology

[fassih]

کسی پوزیشن واسه کنترل واسه همین ترم یا کوارتر بعدی تو آمریکا (یا جای دیگه) سراغ نداره؟
من الان تو آمریکا هستم و فاندم قطع شده، اگه تا یه هفته دیگه چیزی پیدا نکنم، باید برگردم ایران.
لطفا بهم ایمیل بزنید: amir_fassih@yahoo.com

[nima56]

کسی پوزیشن واسه کنترل واسه همین ترم یا کوارتر بعدی تو آمریکا (یا جای دیگه) سراغ نداره؟
من الان تو آمریکا هستم و فاندم قطع شده، اگه تا یه هفته دیگه چیزی پیدا نکنم، باید برگردم ایران.
لطفا بهم ایمیل بزنید: amir_fassih@yahoo.com

سلام
امیدوارم مشکلت هرچه سریعتر حل بشه ،من خیلی گشتم ولی در آمریکا جایی پیدا نکردم و تنها مواردی که پیدا کردم در بلژیک بود که اینجا گذاشتم.

Embedded optimization for motion control

50000403v1739
Promoter: Jan Swevers

details

Description: The aim of this phd project is to develop, implement and
experimentally validate efficient numerical solution methods for
optimizing in real-time the motion of machine tools and robot
manipulators. Both open- and closed-loop methods are considered. The
former methods generate optimal motion trajectories on-line, which are
then given to the lower level controller; the closed-loop methods are
fast MPC algorithms. For both types of control problems, optimality
with respect to execution time, energy, dynamic machine loading and
residual vibrations will be investigated, taking into account system
constraints such as actuator saturation, maximal velocity and
acceleration. The main challenge is the high sampling rate, in the
range of kHz, at which the embedded optimization problems must be
solved. Different problem classes can be defined according to
complexity of the considered system and degree of desired motion
accuracy and robustness: linear time invariant systems, linear
parameter varying systems, nonlinear dynamic (robot) systems,
considering parameter uncertainty and tracking accuracy
tolerances. The developed optimal control algorithms will be
implemented and experimentally validated on an industrial
pick-and-place machine and robot manipulator.

This research project is a continuation of the research described on:
http://people.mech.kuleuven.be/~dver...t/timeopt.html

Besides a competitive salary we offer a stimulating research
environment within our division PMA (http://www.mech.kuleuven.be/pma/)
and the Optimization in Engineering Center OPTEC(http://www.kuleuven.be/optec/). This phd project will be supervised
by Prof. Jan Swevers, and Prof. Moritz Diehl.

The requirements are a strong background in control and dynamic system
modeling, numerical optimization, programming, the ability to
communicate with mathematical optimizers, strong interest and
experience for work on real-world experiments, and enthusiasm for the
project. Proficiency in English is a requirement.

Key words: mechatronics, optimal motion control, embedded optimization

Latest application date: 2010-03-03

Financing: available

Type of Position: scholarship

Duration of the Project : 4 years

Research group: Department of Mechanical Engineering

Apply to Click here to apply to this project

Development of novel robot-based catheter steering mechanisms and control strategies for catheterization procedures with haptic feedback

50000403v1664

Promoter: Jos Vander Sloten

details
Description: General Background: Modern medicine is irreversibly shifting towards less invasive surgical procedures. Conventional open surgery approaches are being replaced by interventions that reduce access trauma thereby minimising pain and hospitalisation periods for patients. The downside of this trend is that it puts an additional burden upon the interventionalist, limiting his/her access to and view upon the surgical scene, requiring extreme concentration, leaving few options in case of unforeseen events. In summary, the additional complexity entails unacceptable risks for the patient and hampers the development of superior interventional techniques. The goal of SCATh is to minimize these drawbacks specifically for a series of new and promising catheterization procedures dealing with cardiovascular disease, the main cause of death in the EU.

Profile’s description: This position provides a unique opportunity to work on an EU funded project, exploring novel robot-based catheter steering mechanisms, covering manipulator design, sensor integration, control issues for robust navigation, human-robot interaction, teleoperation with haptic feedback and the like. Research will take place embedded in the Robot Assisted Surgery group of the department, but also requires a close collaboration with the other European partners, covering 5 leading research institutes, 2 medical companies and 2 university hospitals that participate in this FP7-funded EU project. The performed effort fits in a broader target to develop a powerful technological catheter guidance platform that integrates patient modelling and fuses pre- and intra-operative data streams, with the ultimate goal of facilitating the interventionalist’s work and increasing patient safety by providing augmented visualization of and interaction capabilities with the surgical scene. By further calculating safety margins and partial automation of the procedures, progress in a set of carefully selected and challenging interventional procedures will be achieved.
Tasks in the envisioned PhD work are
• hardware development of a multi-d.o.f. catheter driver;
• development of efficient catheter steering mechanisms allowing robust catheter navigation;
• implementation of reliable semi-autonomous and telerobotic haptic control schemes;
• system integration of various robotic modules, experimental validation and user evaluation of the final demonstrator.

Profile of the candidate:
The candidate should be a self-motivated, communicative person. Competences in mechanical design, sensor technology, robotics and/or control theory are highly recommended. A strong interest or background in medical applications is considered advantageous.
For an informal discussion about this position please contact Mauro Sette on +32 (0)16 322515, or via email at mauro.sette@kuleuven.be

Key words: haptic, surgical robotics, biomedical engineering , catheter navigation

Latest application date: 2010-02-04

Financing: available

Type of Position: scholarship

Source of Funding: EU

Duration of the Project : 3 years

Link: http://www.scath.net

Research group: Department of Mechanical Engineering

Remarks: The project had duration 3 years but the PhD can last up to 4 years

Apply to Click here to apply to this project

[nima56]

New EU-funded project on System Identification, Condition & Health Monitoring for a New Generation of Wind Turbines

We have commenced a research project on system identification, condition and health monitoring for a new generation of wind turbines from 01 December 2009 co-ordinated by Trinity College Dublin, Ireland.

Please follow the links below for details of specific roles;

• Vibration control of wind turbines based on smart semi-active control strategies (PhD)
  Trinity College, Dublin
• Wireless sensor network (WSN) for wind turbines (PhD)
  Trinity College, Dublin
• Flow induced vibrations and noise in wind turbines (PhD)
  Trinity College, Dublin
• System Identification of Wind Turbines (PhD)
  Aalborg University, Denmark
• Flexible Multibody Dynamics of Wind Turbines (PhD)
  Aalborg University, Denmark
• Robust Statistical Time Series Methods for Health Monitoring of Wind Turbines (PhD)
  University of Patras, Greece
• Effective Models and Identification Methods for Wind Turbine Structures Under Uncertainty and Varying Operating Conditions (PhD)
  University of Patras, Greece
• Improvement of engineering aerodynamic models for wind turbines based on experiments and CFD (PhD)
  Trinity College, Dublin
• Fault detection in wind turbine gearboxes using non-classical approaches (PhD)
  Sheffield University, UK
• Damage detection in wind turbines (mainly blades) using highfrequency methods - guided ultrasonic waves (PhD)
  Sheffield University, UK
• Simulation of impact damage in composite blades (PhD)
  Universita degli studi die Cagliari, Italy

Applicants for PhD positions need to be within the first five years (or full-time equivalent) of their careers in research.. Applicants must not have resided or carried out their main activity (work, studies, etc.) in the country of the organization they are applying to for more than 12 months in the 3 years immediately prior to the recruitment.

Positions include interdisciplinary training, summer schools and yearly international meetings.

Please send CV and letter by Email to the appropriate PI. The candidates are expected to start as soon as possible. Each position will be funded for a period of 3 years.

[vahidR]

Openings for PhD positions on biomedical MRI image analysis at Freiburg
University Hospital, Department of Diagnostic Radiology-Research unit,
Germany

The Freiburg University Hospital, Department of Diagnostic
Radiology-Research unit, Germany, is a large international institute
consisting of over 60 scientists. The institute has two openings for PhD
candidates on the post-acquisition analysis of MRI images. The data
processed will be from preclinical mice imaging, clinical studies, and
pharmaceutical studies. The methods developed will make extensive use of
robust graph analysis. The work will be done together with the Department
of Computer Science of the University of Freiburg.

The first position will be on the analysis of longitudinal data from
clinical and pharmaceutical studies for the development of improved
biomarkers. The data will be multi-contrast and may require joint
restoration for acquisition artifacts. The segmentation algorithms
developed will be able to efficiently incorporate user adjustments. Also,
the algorithms will take advantage of statistical priors such as for the
restoration and the anatomy. Some examples include the analysis of white
matter brain lesions in studies of Alzheimer?s and the analysis of
longitudinal imaging data for kidney pathology.

The second position will involve the problems of non-rigid registration
and segmentation in real time spatiotemporal medical imaging data. The
objective will be to establish voxel correspondences between temporally
adjacent frames to improve the within frame segmentation and vice versa.
In some MRI image sequences the tissue contrast can also vary with time.
In these cases a temporal profile for tissue contrast must also be
established. One such example is the analysis of data from abdominal
dynamic contrast enhanced MRI for possible tumor identification.

More information about the research at the department of diagnostic
radiology is available from
http://www.uniklinik-freiburg.de/mr/live/index_en.html. The research
resources include several 1.5Tesla and 3Tesla human MRI systems as well as
a 9.4Tesla small animal system. The department shares access to a 7Tesla
human MRI system in collaboration with other regional academic
institutions. It also has several ongoing industrial collaborations.
Information about the computer science department of the University of
Freiburg is available from http://www.informatik.uni-freiburg.de/.

The background of a candidate should be in computer science, electrical
engineering, applied mathematics/physics, biomedical engineering or
another related field. The University requires a Master?s degree or
equivalent qualifications. Course work and project experience on
algorithms in C++ and on image analysis will be particularly valued. To
apply you can first send your resume, a 1-2 page summary of your Master?s
research project, and a short letter with research preferences to Stathis
Hadjidemetriou at:
efstathios.hadjidemetriou at uniklinik-freiburg.de
You can also use this email address for further information. The starting
date is 1/July/2010. EU citizens and international students are encouraged
to apply.

The town of Freiburg, http://www.freiburg.de, is located at the southwest
corner of Germany and provides easy access to neighboring France and
Switzerland. It is in the proximity of the mountains of the Black Forest
and has the warmest climate in the country. It offers many options for
cultural, leisure, and outdoor activities.

[vahidR]

PhD position in Image Processing , Uppsala University , Sweden


Analysis and processing of three-dimensional medical images on optimal lattices
The Centre for Image Analysis (CBA) is a joint research entity between Uppsala University and the Swedish University of Agricultural Sciences. CBA was established to through research and development reinforce the knowledge needed for an operative and sensible use of digital image analysis in society. More information can be found at http://www.cb.uu.se.
Three-dimensional volume images are used frequently in medical applications today. With higher precision in the image acquisition equipment, storing and processing these images require an increasing amount of data processing capacity. Traditionally, three-dimensional images are represented by cubic (or cuboid) picture elements on a cubic lattice.
The two-dimensional hexagonal lattice has some advantages over the traditionally used square lattice. For example, fewer samples are needed to get the same reconstruction quality and it is less rotational dependent. A corresponding three-dimensional lattice is the body-centered cubic (bcc) lattice. In theory, almost 30% fewer samples can be used to get the same reconstruction quality when the bcc lattice is used compared to the cubic lattice.
Most three-dimensional image acquisition methods are based on tomography, i.e., the three-dimensional image is constructed by a stack of two-dimensional images, each acquired separately. To take full advantage of the high sampling efficiency of the bcc lattice, the image should be acquired as a full three-dimensional image. In this project, methods for image acquisition, analysis, and visualization will be developed for three dimensional medical images represented on the bcc lattice.
With the methods developed in this project, it will be possible to process three-dimensional images with 30% less data without affecting the image quality. Our intention is that this project will lead to faster processing of images with less demands on the data storage capacity.
Cooperation partner in this project is the Division of Radiology, Department of Oncology, Radiology and Clinical Immunology, Uppsala University.
A MSc or MEng or similar degree in science/technology with a focus on computer science and mathematics is a suitable background. Experiences from digital image processing is highly valued. Programming experience is important.
Uppsala University is striving to achieve a more even gender balance and women are especially encouraged to apply.
PhD positions are primarily intended for the students’ own graduate education. In addition to research education, teaching or other duties at CBA to an extent of about 20% of full time is included in the position. Formal acceptance as a PhD student is a prerequisite for the position.
The application should contain a CV, high school and college transcripts, letters of recommendations, and a letter describing why you want to become a doctoral candidate and why this line of research appeals to you.

For further information, please contact Dr. Robin Strand, robin@cb.uu.se, tel. 018-4713469. Union representatives are Anders Grundström (SACO-rådet), Ph. 018-471 5380 and Carin Söderhäll (TCO/ST), Ph. 018-471 1996, Stefan Djurström (SEKO), Ph 018-471 3315.
You are welcome to submit your application no later than 19 February, 2010. Use the link below to access the application form
PhD position in Image Processing

[Babak]

لطفا از این به بعد، برای موقعیت‌های مختلف موضوعات جداگانه در همین انجمن ایجاد نمایید. این تاپیک قفل می‌شود.