PhD student in musculoskeletal multi-object modeling at CISTIB ? Computational Imaging and Simulation Technologies in Biomedicine

Firma Universitat Pompeu Fabra
Kraj Spain
Miasto Barcelona
Sektor biomedical engineering
mathematical modeling
Typ full time / PhD

The candidate will develop 3D anatomical modeling methods of musculoskeletal structures from medical images (CT-scan, MRI and DXA). One of the most challenging tasks will be to model multi-object systems, such as the hip joint or the vertebral unit, including bones structures, ligaments and muscles.

The method will be based on statistical models, taking advantage of the large experience of CISTIB in this field. Concrete applications of this research work will be developed to provide a better prevention of pathologies such as osteoporosis and low back pain.

Previous experience in modeling from medical imaging, image processing or biomechanics is required. This work will be carried out in the framework of European and Catalan projects leaded by the Orthopedics group of CISTIB and conducted in close collaboration with clinical partners.

To apply, please email a detailed CV to Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. and to Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć.

Reference: OR-100116

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poniedziałek, 29 sierpnia 2011 01:00

PhD position in Image Processing


PhD position in Image Processing - Perceptual Preferences Applied To Massive Super-Resolution and Image Editing

Firma University College London (UCL)
Kraj Great Britain (UK)
Miasto London
Sektor biomedical engineering
image processing
Typ full time / PhD

Applications are invited for an Engineering Doctorate (EngD) in the Department of Computer Science at the University College London (UCL) in conjunction with Anthropics Technology Ltd. This is a 4-year studentship, leading to the award of an Engineering Doctorate, which offers the opportunity to conduct research within an industrial context. This EPSRC (UK Research Council) funded studentship is available to UK citizens and EU nationals if a relevant connection with the UK has been established (usually by being resident for a period of three years immediately before the EngD). Applicants must fulfil EPSRC eligibility criteriaand the normal academic requirements for admission to study in the Department. This studentship will pay a tax-free stipend of approximately ?18,000 per year, plus tuition fees. EU students without a relevant connection to the UK can receive an award to cover tuition fees only.

The EngD post in this project will be based at both UCL (central London) and Anthropics Technology Ltd. (15 min away by Tube). The post is offered under the Virtual Environments, Imaging and Visualization programme, which is run by the EngD VEIV Centre, UCL Computer Science.


This project aims at looking between the pixels: many image-editing operations require values sampled between pixel centres, let it be simple resizing operations, content-sensitive image enhancement or alpha matting. Usually, such values are determined using interpolation. The field of super-resolution, however, aims at inferring content between the pixel samples. Super-resolution of single images is an ill-posed problem. This project should research meaningful ways to infer, or to "hallucinate", inter-pixel content, by drawing from principles of human perception. A key component of the work shall investigate preferences of many human observers to crowd source a model of the additional details people would expect to appear when massively up-scaling an image. Such human-sourced image understanding may facilitate other novel image editing operations. The work is conducted in collaboration with Anthropics Technology Ltd., London, who are experts in putting powerful, high-level image operations at the fingertips of inexperienced users.

Applicants are required to have

  • A bachelor degree (1st or 2.1 honours) or an MSc in Computer Science or related field;
  • Good knowledge of computer graphics, image processing and mathematics;
  • Strong programming skills, particularly C++, C, and Matlab;
  • Good communication and presentation skills.

Informal enquiries on the project can be made to Dr Tim Weyrich (http://www.cs.ucl.ac.uk/staff/T.Weyrich/). For further information on the EngD Programme, see http://web4.cs.ucl.ac.uk/teaching/engd/ or contact Dr Jamie O'Brien ( Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. ).

To be considered, you must fill in the general UCL application form.  Please see http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/, where you can download the forms and guidelines. Make sure you specify Supervisor (Tim Weyrich), and EngD (?Perceptual Preferences?) on the ?Research Subject Area? part of the form. Please send the completed form to Dr Jamie O?Brien, Department of Computer Science, University College London, Gower Street, London WC1E 6BT.

If you need further assistance regarding our application process, please contact the EngD Centre Manager Dr Jamie O?Brien ( Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. )

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PhD position in Machine Learning and Computer Vision

Firma University of Naples Parthenope
Kraj Italy
Miasto Naples
Sektor inżynieria biomedyczna / biomedical engineering
computer vision / machine learning / pattern recognition
Typ pełny etat / full time / PhD

Competition by selection on the basis of academic qualifications for the admission of non EU citizens for One Grant to the Research Doctorate/Ph.D. degree course in Machine Learning for Computer Vision at the Computer Vision and Pattern Recognition Lab (http:\\cvprlab.uniparthenope.it) of University of Naples Parthenope.

The aim of the Graduate School of Information Technology is to provide:

  • solid, wide-ranging knowledge about the basics of information sciences and technologies and related fields;
  • advanced and in-depth competences about specific disciplinary aspects;
  • the interdisciplinary skills necessary to be able to exploit cultural and methodological synergies;
  • a sound methodological grounding in the conduct of research, as well as in its organisation, management and dissemination;
  • opportunities for internationalisation and advanced relations with economic, social and production bodies located in the area.

The aim is to prepare students with an extensive, sound cultural background, providing them with a high degree of flexibility, an open mind and in-depth, innovative competences in specific fields. These students will be capable of conducting and managing both theoretical and applied research activities independently, contributing greatly to maintaining and advancing scientific and technological knowledge at international level. They will also be capable of designing and building complex IT systems, developing innovative IT applications and transferring their knowledge to the private sector, thus contributing to consolidating and expanding the role played by Italian firms in the global economic scenario. The training provided by the School has been articulated by identifying blocks of courses (the curricula) that correspond to specific areas of interest in IT disciplines. The longer courses cover fundamental areas of information sciences and technologies, while the short courses go into greater detail about specific topics, above all by presenting recent research projects and results and so providing stimuli for the postgraduate students? own research activities. Each postgraduate student is free to construct his/her own study plan, choosing several long courses and several short courses of interest to him/her. It is also possible to attend courses at other Italian and foreign universities, so as to expand the opportunities for training and encourage internationalisation.

In addition to the qualifications required to all participants, candidates will have to demonstrate that they hold:

  • A good knowledge of English language.


Applications for selection are invited from non EU citizens who do not come within the purview of Italian Legislative Decree N° 286, dated 25 July 1998, as amended by Law N° 189, dated 30 July 2002 and hold a foreign degree. The candidates? degrees will be recognised as equivalent to the Italian "Laurea magistrale" (exclusively for the purposes of this competition) by the competent Academic Board. The University can at any time exclude candidates lacking the admission requirements.

Studentship assignment

Successful applicants, whose annual income does not exceed ? 15,000.00 (occasional self-employed work incomes are excluded), are entitled to get a scholarship amounting to ? 13,638.47 (gross total) per year. If an applicant selected to receive a studentship fails to enrol, the studentship will be assigned to the selected applicant following in the list.

To apply:

The application should be submitted using the attached form available on the University web site http://www.unimi.it/ricerca/dottorati/19244.htm and must arrive, together with the qualifications listed below, by 15 September 2011 using one of the following methods:

  • by fax to: +39-02-50313731
  • by e-mail to: Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć.
  • by post to: Magnifico Rettore, Universit? degli Studi di Milano, Via Festa del Perdono, 7, I - 20122 Milano ITALY

Applications and qualifications arriving after the deadline (15 September 2011) will not be considered.

Candidates will apply for a single Research Doctorate/Ph.D. Degree Course; should a Graduate School involve different Research Doctorate/Ph.D. degree courses, applicants will opt for only one among those indicated. The application form must be completed in all its parts.

The following documents must be attached to the application form:

  • a certificate related to the most recent academic degree, translated into Italian or English;
  • a curriculum studiorum stating examinations taken and grades gained with a brief description of their contents; the curriculum should be accompanied by a report on any research carried out by the candidate;
  • a list of publications (if any);
  • a letter of recommendation by the teachers or tutors who supervised the candidate on his/her studies at Home University;
  • any further candidate?s qualifications that should be taken into account, including the study and research programmes he/she intends to carry out in Milan.

All documents must be in Italian or English, or accompanied by a translation into Italian or English.
Candidates will be required to submit additional documentation as specified in article 3.

Admission and enrolment

Admission to a Research Doctorate/Ph.D. Degree Course is decided by the Academic Board. The Academic Board?s decision will be made known through a list of admitted candidates available on the University web site http://www.unimi.it/ricerca/dottorati/19244.htm by 12 October 2011.
No personal communication relating to the results of the competition will be given.

Winners should enrol, under penalty of exclusion, by 31 October 2011 by presenting the following documents to the address given in article 4:

a) the enrolment form, available on the web site at the address: http://www.unimi.it/ricerca/dottorati/19244.htm
b) photocopy of an identity document
c) a passport-size photograph
d) qualification translated by an official translator and certified by an Italian diplomatic office (Embassy or Consulate) in the country where the qualification was obtained
e) ?declaration of local value? issued by the same diplomatic office.

Interested in this PhD position are  invited to contact and send their CV to Prof. Alfredo Petrosino, University of Naples Parthenope. Email: Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć.

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PhD position in AV motion perception during eye and head movement

Firma Cardiff University
Kraj UK
Miasto Cardiff
Sektor inżynieria biomedyczna / biomedical engineering
motion perception
Typ pełny etat / full time / PhD

AV motion perception during eye and head movement - RA/PhD position with Tom Freeman / John Culling

John and I are seeking to appoint a Research Assistant to undertake research funded by the Wellcome Trust investigating audiovisual motion perception during eye and head rotation. The research asks how perceptual systems combine sensory information with feedback from eye movement and head movement control systems. While there is large literature on these types of interactions in vision science, the research-base in audition and cross-modal science is considerably smaller. The post therefore presents an exciting opportunity to carry work in a relatively unexplored domain.

The successful candidate will be encouraged to register for a PhD for which there is additional funding available beyond the term of the post.

Salary:  Grade 5 (?24,370 - ?28,251). Due to limited external funding it is not expected to appoint above ?24,370

Closing date:  8th July 2011

For further enquires please contact:
Tom Freeman ( Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. )
or John Culling ( Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. )

For further information about the post go here:

For further information about the Perception Group at Cardiff University, go here:

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PhD Student Position - image processing, opthamology

Firma University of Manchester and 4D optics Ltd.
Kraj Wielka Brytania / UK
Miasto Manchester
Sektor inżynieria biomedyczna / biomedical engineering, optyka / optics
okulistyka / opthamology
Typ pełny etat / full time / doktorat / PhD

Applications are invited for a PhD studentship starting in the academic year 2011-12 to work with Dr Vincent Nourrit and Dr James Graham (University of Manchester) and 4D Optics Ltd.

The diagnosis and management of many ophthalmic conditions rely on assessment of retinal images. The application of adaptive optics (AO), a technique widely used in astronomy, to retinal imaging offers the potential to obtain images of the retina at previously unachievable resolution. As a consequence of the ultra high resolution of AO imaging systems, the area being imaged is relatively small and does not offer any landmark for the clinicians to localize the area of the fundus being imaged. This constitutes an impediment to the practical application of the technology in clinical practice. AO bio-microscopy of the retina allows imaging of the retina at the cellular scale. However at this scale it is extremely difficult to determine the location of the imaging field from the AO imaging. The objective of the project is to develop an accurate image processing algorithm to perform real time landmark tracking and to implement it within a dual scale system comprising an AO fundus camera and a standard wide field fundus camera.

This position is an opportunity to join a multidisciplinary environment and gain experience in several aspects of image processing, optics and ophthalmic instrumentation. In addition, the successful candidate will have the opportunity to work both in a business and academic environment.

The ideal candidate would combine good programming skills with proven experience of algorithm and software development, and a degree in mathematics or other numerate discipline. Knowledge of Matlab and/or numerical python and C is expected and knowledge of Mac OS, OpenCL would be an asset, as would experience in image processing or computer vision. The candidate should be able to demonstrate independence and curiosity and be able to lead the project forward.

Funding Notes:

This studentship is available to UK and other EU nationals (due to funding criteria) and provides fees and stipend subject to eligibility. Applicants should hold (or be about to obtain) a first or upper second class honours degree in a related area.

For further details please email Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć.

To apply for this studentship please see: http://www.ls.manchester.ac.uk/phdprogrammes/apply.

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PhD student position in Multisensory Research (Barcelona)

Firma Pompeu Fabra University
Kraj Hiszpania / Spain
Miasto Barcelona
Sektor inżynieria biomedyczna / biomedical engineering
sensoryka / sensorics
Typ pełny etat / full time / doktorat / PhD


Applications are invited for a full-time pre-doctoral position in the MULTISENSORY RESEARCH GROUP, led by Salvador Soto-Faraco, at the Pompeu Fabra University (Barcelona). The position is covered by a European Research Council grant on Multisensory Integration and Attention.

The position

The project attempts to understand the interplay between multisensory integration and attention. This includes research in the domains of speech, temporal and spatial processing, and body representatio. The methodological approaches include psychophysics, neuroimaging (fMRI, ERP), and brain stimulation (TMS).

We seek a highly motivated student who has an interest to complete a PhD in our group. Full involvement in the group?s activities is expected. Among others, we will value positively the candidates prior research experience; background in relevant areas (cognitive neuroscience, neuroscience, and/or cognitive psychology), and programming skills.


The position will be funded for three years.  Starting date: September 2011. Salary (before tax): 18000Eur/Year

How to apply

Applications should include:

  • a  C.V. including a list of publications
  • the names of two referees who would willing to write letters of recommendation
  • a cover letter describing research interests

For applications or other enquiries about the position, please contact Salvador Soto-Faraco at Adres poczty elektronicznej jest chroniony przed robotami spamującymi. W przeglądarce musi być włączona obsługa JavaScript, żeby go zobaczyć. (http://www.mrg.upf.edu). Applications will be accepted until the position is filled. Please, mention that you are applying to the PREDOCTORAL position in the email subject.

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