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BEQUES MÀSTERS D’EXCEL·LÈNCIA

La Fundació vol reconèixer i atraure el talent, fomentar l’excel·lència i contribuïr a fer de Catalunya un referent en l’àmbit dels estudis de postgrau de qualitat.

 

Els màsters inclosos en el programa de beques es fan a Catalunya i s’han considerat excel·lents tenint en compte la seva projecció internacional. Són impartits en llengua anglesa, amb professorat de prestigi i amb una clara orientació a la recerca.
Les beques inclouen la totalitat de la matrícula, tant en els casos en què la durada del màster és d’un any com ens el que és de dos anys, i un ajut econòmic per als estudiants.

Els candidats hauran de ser de nacionalitat espanyola i acreditar un bon expedient acadèmic. El criteri per becar l’estudiant serà l’excel·lència. Les candidatures dels estudiants són proposades pel mateix equip coordinador del màster, i la decisió es pren conjuntament entre la direcció del màster i la Fundació.

 

Màsters inclòs al programa 2015-2016

 

Per a més informació i sol·licituds adreçar-se a robert.marti@udg.edu

OPEN PHD POSITIONS IN IMAGE ANALYSIS LAB

2 PhD Studentships in Computer Vision (Multiple Sclerosis biomarkers in MRI) in the Computer Vision and Robotics group.
University of Girona
Girona, Spain

 

Fixed term appointments for 3 years.
PhD Studentships: Salary of 14500 euros per annum
Starting date: February 2015

 

We have 2 exciting new positions available within the Computer Vision and Robotics (VICOROB) Group of the Department of Computer Architecture and Technology. Detailed information about the research group can be found at http://vicorob.udg.edu. These research positions are associated with a new project which aims at developing image processing and computer vision techniques in the medical imaging field. In particular, the interest of the project is in the development and validation of fully automated and robust tools to measure the presence of new lesions and brain volume changes in MRI images of patients with multiple sclerosis. Further information on the research area of the project can be found in http://atc.udg.edu/salem/ while informal queries can be directed to xavier.llado@udg.edu

Applicants for the PhD Studentships will need to have a good honours degree (or equivalent) in Computer Science, Engineering, Mathematics, Physics or another related area and be able to demonstrate a strong mathematical background. A Masters degree (or equivalent) obtained during the last two years in the field of Computer Science, Engineering, Mathematics, Physics or another related area is also essential for this post. High levels of ability in computing and programming skills (Matlab and C++) are required. Research experience in image processing, computer vision, or machine learning, and a clear interest in these research fields are also desirable. All applicants must be fluent in spoken and written English.

 

Applications must include the following:

 

* A full CV including, University degrees and dates, past and present posts, publications and the names and addresses of 3 referees.
* Certified copy of the University Degrees or equivalent with records transcript (English translation).
* Proof of level of competency in English.
* A copy of a valid ID document and passport.
* A 1 page research statement indicating what you see are interesting research issues relating to the above post, why your expertise is relevant, and what your future research plans are.

 

 

Applications should be sent via email to: xavier.llado@udg.edu

 

The closing date for the applications is: 12 December 2014

Valuing diversity and commitment to equality of opportunity

EARLY STAGE RESEARCHER (ESR) – ROBOCADEMY

Robocademy – The Maritime Robotics Research and Training Network

 

The Robocademy ITN will establish a European training and research network to develop key skills and enabling technologies in underwater robotics for the scientific and economic exploration of the oceans (e.g. offshore oilfield of the future). Through the close collaboration of leading research institutes, academia, industry, and SMEs in robotics, marine technology, marine science, and offshore industry, Robocademy will provide first-class training and research opportunities for ESRs. In well-defined and well-tutored PhD research projects, the Robocademy fellows will push the state-of-the-art in the area of robust, reliable and autonomous underwater robots.
Specialized scientific training modules will enable the fellows to obtain both a sound basis in robotics and an introduction to topics that are specific to their research areas. This will be complemented by a high quality soft-skills training programme for and the opportunity to gain extensive on-site hands-on experience through secondments to maritime industry and oceanographic research institutes. Thus Robocademy will foster the formation of young professionals that are able to meet the urgent demand for highly qualified researchers and engineers in the growing field of underwater systems and robotics.
For the European industry and scientific community, such specialists are crucial gain ground against competitors from North America and Asia. For the ESRs, the Robocademy training will open up excellent career opportunities in both academia and industry.

 

For more information, please visit: www.robocademy.eu or contact@robocademy.eu

 

Job Posting Reference: Robocademy ESR-6
Post Type: Early Stage Researcher (ESR)
Start Date: October 2014
End Date: October 2017
Host Institution: University of Girona

 

Host Institution Description:
The Computer Vision and Robotics Research Group (VICOROB) of the University of Girona (UdG) is
devoted to the research related to the areas of computer vision, image analysis and underwater
robotics. Our team focuses its efforts in the study and further development of new algorithms,
methods and techniques of image processing needed for mapping the seafloor.

 

Background and Motivations

More than 70% of our planet’s surface is covered by water. Our oceans provide critical energy and food
resources, and drive the patterns of our weather across the globe. However, we know less about the ocean
floor than about the surface of other planets of the solar system such as Mars. For this reason, underwater
robotics is of great importance to explore and understand the oceans, as well as for monitoring the human
impact in the energy and food resources that the oceans offer us. The Deep Water Horizon disaster in the
Gulf of Mexico in 2010 underpins the oil industry’s desire to install, operate and decommission its
infrastructure particularly in deep water as well as the environmental risks associated with subsea
operations. Unmanned robots perform inspection, repair and maintenance tasks in a cost effective, safe and
timely manner.
As worldwide concern grows over global warming and pollution, autonomous underwater robots play an
increasingly important role in making the essential measurements that develop our understanding and
monitoring of key scientific phenomena. And as global threats to our national security grow, unmanned
subsea robots are now routinely deployed to investigate potential threats in economically critical ports and
harbours, and for humanitarian demining along our coastlines. Unmanned Underwater Vehicles (UUVs) do
not only have to be sturdy and well-engineered. More importantly, they have to be equipped with advanced
cognitive and reasoning capabilities to perceive and understand their environment and to act accordingly.
The underwater environment presents key challenges to the UUVs’ sensory capabilities, especially when
inspecting submerged structures in a dynamic environment such as an anchor chain on an oil platform
(FPSO). Although the underwater medium presents limited optical visibility, optical sensors present the
advantage of higher resolution and data rate with respect to acoustics when inspections are to be carried out
at short range.

 

Aims and Objectives

  • Develop new algorithms for image enhancement to compensate the effects of the medium (absorption and scattering)
  • Develop new algorithms for optical mapping in a dynamic environment.

 

Expected Outcomes

  • New algorithms and approaches for optical mapping of submerged structures validated in real scenarios using UdG underwater robots.

 

Tasks and Responsibilities

  • Main research tasks:
    • Development of new solutions for:
      • Image enhancement
      •  Mapping in dynamic environments in which some of the mapped objects may change their position
  • Responsibilities:
      • The main responsibility of the PhD candidate will be to carry out the above described research
      • Participation in training events and meetings within the network and at international conferences outside the network
      • Participation in organization of the Local Training Workshop

 

Deliverables

      • PhD thesis by the end of the project
      • Publication of peer review scientific papers.

 

Secondments and Internships

Two secondments are planned: The first one (4 months) at NERC to learn about optical mapping algorithms developed by the National Oceanographic Centre, Southampton, and the second one (3 months) at CMRE to work with ESR8

 

Person Specifications Educational and/or Professional Qualifications

 

A successful candidate must hold a Masters degree in Physics, Computer Science, Planetary Science, Mathematics or related fields.

 

Experience and Training
Previous research experience is a plus.

 

Skills
A candidate should have good oral and written communication skills in English. Good programming skills are required.

 

Personal Attributes
We are looking forward for a talented and highly motivated candidate. He/she should have an independent and well-structured working style, but has to be able to work in teams as well.
Early-Stage Researchers (ESR) must, at the time of recruitment, be in the first of four years (of full-time equivalent research experience) of their research careers and have not yet been awarded a doctoral degree. The post of Early-Stage Researcher is for 36 months, and my be done in conjunction with a doctoral degree.
For all available positions, at the time of recruitment, applicants must not have resided or carried out the main activity (work, studies, etc) in the country of the host institution (defined as the research institution or company cited in the job posting) 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. The applicant must not have spent more than 12 months in the 3 years immediately prior to their recruitment at the host organization.

 

Person Specifications

Applicants must send: a curriculum vitae (CV) and a cover letter to vicorob@eia.udg.edu stating clearly your qualifications for the post, the job posting reference number and title, host institution and research stream. They should also include two letters of reference from your referees. Any applications and general emails not meeting these requirements will not be considered.
Applicants can apply for a maximum of 2 different posts, with each post ranked in terms of preference. If you are applying for multiple job postings, please also indicate the order of preference.

If is not possible to send the documents by email, applications may also be sent by post to:

University of Girona,

Att. Dr. Rafael Garcia,

Av. Lluis Santalo, Edifici P4, 17003 Girona, Spain.

The deadline for the submission of applications is 30. July 2014
For more information about the research or host institution, please contact prof. Rafael Garcia (Rafael.garcia@udg.edu)