Applications are invited for a postdoctoral research associate to work with Dr Giampiero Marra on the development of flexible simultaneous equation estimation methods. This research is funded by a grant from the EPSRC.
The post is available from January 2012 (or as soon as possible thereafter) and is funded for 14 months in the first instance.
More information can be found here.
Closing Date: 9 January 2012
The research group K.U. Leuven ESAT-SCD is currently offering new PhD
positions (4-years of PhD study) and Postdoc positions (1 year,
extendable) within the framework of the ERC Advanced Grant A-DATADRIVE-
B (PI: Johan Suykens)
http://www.kuleuven.be/research/erc/suykens.html.
Different research positions (PhD/postdoc) are oriented towards
-1- Prior knowledge incorporation
-2- Kernels and tensors
-3- Modelling structured dynamical systems
-4- Sparsity
-5- Optimization algorithms
-6- Core models and mathematical foundations
-7- Next generation software tool
The research group ESAT-SCD http://www.esat.kuleuven.be/scd/ at the
university K.U. Leuven Belgium provides an excellent research
environment being active in the broad area of mathematical
engineering, including systems and control theory, neural networks and
machine learning, nonlinear systems and complex networks,
optimization, signal processing, bioinformatics and biomedicine.
The research will be conducted under the supervision of Prof. Johan
Suykens. Interested candidates having a solid mathematical background
and master degree can apply for these positions by sending their CV
and motivation letter to johan.suykens@esat.kuleuven.be. For further
information on these positions you may contact
johan.suykens@esat.kuleuven.be.
I am currently putting together a Marie Curie Initial Training Network proposal and I am searching for European partners with expertise in causal discovery methods to complete our consortium. Expertise in Structural Equation Models is particularly welcome. If you are interested to get more information, please contact me. Details on the proposal follow.
Ioannis Tsamardinos
Head of Bioinformatics Laboratory, ICS, Foundation for Research and Technology, Hellas
Assistant Professor, Computer Science Department, University of Crete
Budget:
The ITN pays for early researchers (Ph.D., post-docs, research staff) salaries (about 38K for Ph.D-level with less than 4 years of research experience and 87K for Post-doc-level a year, adjusted slightly for each country). The ITN also pays for traveling to workshops, summer schools, students/researchers exchanges and secondments, as well as equipment and other research-related expenses (e.g., biological experiments). The exact amount is negotiated AFTER the proposal has been accepted; for some expenses there are flat fees, e.g., the student salaries that I mentioned above. Usually these programs range between 2-4million euro with 6-10 partners.
Responsibilities:
The responsibilities of a partner while the program is running are the following:
* supervise the students/early researchers
* travel to the program’s annual workshops and summer schools and give lectures (about 2 hours or so)
* accept students at your institution for a few weeks as secondments to get training
* perhaps, participate in the supervision of students of other partners in the program; the reviewers always appreciate exploiting the synergies among different partners
Science and Technology Part
The purpose of an ITN is to train researchers in their early stages and give them the best start in their careers, the skills they need, experience with working and interacting with the industry and getting to know several network of people in the field. Each partner will propose up to 2 projects for early researchers that is interested in, as long as they are related to the general ITN theme. Hopefully, interactions will emerge and partners will participate in other partners projects too.
Research Area: Low-Rank Matrix Recovery and Approximation, Sparse Coding.
Project Description: Applications are invited for an open Postdoctoral
Research Scientist position at SUNY at Buffalo, Department of
Computer Science and Engineering, in the area of
machine learning. Qualified candidates must have a Ph.D. in
machine learning or related areas with
outstanding research record and experience. The grant support will be
3 years.
The successful candidate will conduct basic research and
interact with the principal investigator, graduate students, and
collaborators. The Computer Science department at SUNY Buffalo is among
the oldest CS departments nationwide with a strong focus on computer
vision and machine learning.
See http://www.cse.buffalo.edu/ for more information.
Salary is sufficiently competitive. If you are interested in joining
this research project as a Postdoctoral Fellow, please contact:
Yun (Raymond) Fu, Principal Investigator
Department of Computer Science and Engineering
State University of New York (SUNY) at Buffalo
201 Bell Hall Buffalo, NY 14260-2000, USA
Ph: +1 (716) 645 2670
Email: yunfu@buffalo.edu
Web: http://www.cse.buffalo.edu/~yunfu/
We would like to advertise the following studentships starting in 2012. Please circulate to those who might be interested.
Microsoft Research Funded PhD Scholarship in Machine Learning Markets
Supervisor: Amos Storkey
a.storkey(at)ed.ac.uk
Microsoft Research Funded PhD Scholarship in Statistical Machine Learning and Natural Language Processing of Programming Language Text
Supervisor: Charles Sutton
csutton(at)inf.ed.ac.uk
School of Informatics, University of Edinburgh
Duration of Studentships: 36 months
Preliminary deadline: 16 December 2011
For further information see
http://homepages.inf.ed.ac.uk/amos/jobsphds.html
http://homepages.inf.ed.ac.uk/csutton/projects.html#nlppl
Call for Papers
Deadline for submissions: March 5th, 2012
http://eccv2012.unifi.it/
October 7-13th 2012 – Firenze, Italy
ECCV2012 solicits submissions for papers that describe scientific
achievements and long term research challenges, point to new research
directions, or provide new insights or brave perspectives that pave
the way to innovation. Subjects of interest are computer vision and
aspects of related disciplines (such as machine learning, computer
graphics, biological vision, mathematics) which illuminate the state
of the art in computer vision.
The conference website http://eccv2012.unifi.it provides instructions
for paper submission as well as calls for tutorials, workshops, demos,
and industrial exhibits.
Accepted papers will be presented in the oral and poster sessions of
the ECCV 2012 technical program. Continuing the top quality tradition
of ECCVs, it will be a single-track conference with double-blind peer
review process.
Important dates:
March 5th 2012 – Paper submission deadline
June 25th, 2012 – Notification of acceptance
August 1st, 2012 – Camera-ready submission deadline’
More information:
http://www.ung.si/en/jobs/id/195603/
and
http://www.ung.si/storage/195607/PublicAdv_Sungreen_angl%20ptf.pdf
Department of Automatic Control & Systems Engineering
The University of Sheffield
We are seeking to appoint a Research Associate to work on an industry-sponsored project on nonlinear signal processing. This post offers an outstanding opportunity to work with a multidisciplinary team of researchers from academia and industry. The project is to develop a novel feature extraction, modelling and classification system for nonlinear time-series. The position will incur regular travel to the Unilever Research Port Sunlight, Merseyside.
Applicants should have a good honours first degree and have, or be working towards a PhD in signal processing or a related area. The successful applicant will have experience in nonlinear system identification, statistical signal processing and pattern classification. Good IT skills including programming ability and experience in MATLAB computing environment is essential. Previous experience of processing real time-series data is highly desirable.
Applicants should also have good communication and interpersonal skills, and be able to work with researchers from the industry. Ability to meet deadlines and provide timely deliverables is essential.
This post is fixed-term until 30 June 2012.
Salary: £28,251 to £30,870 per annum (Grade 7)
Closing Date: 15th December 2011
It is anticipated that interviews and other selection action will be held on 20 December 2011.
For access to the full job advert, visit http://www.shef.ac.uk/jobs
(Job Reference Number: UOS003674).
We are pleased to announce the PASCAL-sponsored Heart Sounds Challenge. Here is your chance to prove your machine learning technique can outperform those of everyone else – and win an iPad for your efforts! (Also come to the Canary Islands to present your results in a workshop after AISTATS!)
For more details see: http://www.peterjbentley.com/heartchallenge/
According to the World Health Organisation, cardiovascular diseases (CVDs) are the number one cause of death globally: more people die annually from CVDs than from any other cause. An estimated 17.1 million people died from CVDs in 2004, representing 29% of all global deaths. Of these deaths, an estimated 7.2 million were due to coronary heart disease. Any method which can help to detect signs of heart disease could therefore have a significant impact on world health. This challenge is to produce methods to do exactly that. Specifically, we are interested in creating the first level of screening of cardiac pathologies both in a Hospital environment by a doctor (using a digital stethoscope) and at home by the patient (using a mobile device).
For this challenge we have two datasets comprising several hundred real heart sounds, gathered from an iphone app by the general public, and by a digital stethoscope in a noisy hospital environment.
Challenge 1 is segmentation – can your method correctly identify the “lub dub” (S1 and S2) components of the sound?
Challenge 2 is classification – can your method correctly classify the heart sounds into categories such as Normal, Murmur, Extra Heart Sound, and Artifact?
This problem is of particular interest to machine learning researchers as it involves classification of audio sample data, where distinguishing between classes of interest is non-trivial. Data is gathered in real-world situations and frequently contains background noise of every conceivable type. The differences between heart sounds corresponding to different heart symptoms can also be extremely subtle and challenging to separate. Success in classifying this form of data requires extremely robust classifiers. Despite its medical significance, to date this is a relatively unexplored application for machine learning.
Enquiries and submission, email: Yiqi Deng, y.deng.11(at)ucl.ac.uk
BMVC 2012: British Machine Vision Conference, University of Surrey, UK Sept 3-7th 2012
CALL FOR PARTICIPATION
http://bmvc2012.surrey.ac.uk/
The British Machine Vision Conference (BMVC) is one of the major international conferences on machine vision and related areas. Organized by the British Machine Vision Association, the 23rd BMVC will be held in Guildford UK, at the University of Surrey.
Authors are invited to submit full-length high-quality papers in image processing and machine vision. Papers covering theory and/or application areas of computer vision are invited for submission. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.
All papers will be reviewed *doubly blind*, normally by three members of our international programme committee. Please note that BMVC is a single track meeting with oral and poster presentations and will include two keynote presentations and two tutorials.
Topics include, but are not limited to:
• Statistics and machine learning for vision
• Stereo, calibration, geometric modelling and processing
• Person, face and gesture tracking
• Object and activity recognition
• Motion, flow and tracking
• Segmentation and feature extraction
• Model-based vision
• Image processing techniques and methods
• Texture, shape and colour
• Video analysis
• Document processing and recognition
• Vision for quality assurance, medical diagnosis, etc.
• Vision for visualization, interaction, and graphics
Conference Chairs:
Dr John Collomosse
Dr Krystian Mikolajczyk
Prof Richard Bowden
Important Dates
26 April 2012 Abstracts due
3 May 2012 Full paper submissions due
14 June 2012 Deadline for return of reviews
2 July 2012 Area chair recommendations due
6 July 2012 Author notifications
1 August 2012 Camera ready papers due
3-7 September 2012 Conference
See http://bmvc2012.surrey.ac.uk/ for more details
