Research Assistant/ Research Fellow – Computer Science (Trainable Vision System for the Food Industry) – (Fixed Term)

School of Computer Science

Location:  Brayford
Salary:   From £25,504 per annum
Closing Date:   Sunday 04 August 2013
Reference:  MHT192B

The School of Computer Science has an exciting opportunity for either a Research Fellow or a Research Assistant.

The salary for both posts are as follows:

Research Assistant – from £25,504.00 per annum

Research Fellow – from £30,424.00 per annum

Applications are invited for a Postdoctoral Research Fellow to work full-time for 2 years on a Technology Strategy Board funded project “Trainable Vision-based Anomaly Detection and Diagnosis” from 1st September 2013 (or as soon as possible thereafter). Applicants should have, or expect to soon obtain, a doctoral degree in Computer Vision, 3D Imaging, Machine Learning and/or a related area.  Excellent software implementation skills (C++/Matlab) are essential.

Alternatively, to allow talented but less qualified individuals to apply, applications are also invited for a Research Assistant to work full-time for 2.5 years on the project, with the possibility to register for and undertake a PhD in parallel with the planned developments. For an outstanding individual, an additional 6-month bursary would be provided to allow the successful candidate to write up their work as a PhD thesis.

For further details and online application form,  please follow this link.

Fully-funded PhD position in Autonomous Exploration and 4D Mapping by Mobile Service Robots

Faculty of Science – School of Computer Science, University of Lincoln, UK

Salary grade – competitive

A PhD position is available in the Lincoln Centre for Autonomous Systems Research (L-CAS) at the University of LincolnUK. The position is fully funded for 3 years, including tuition fees, a bursary at the current RCUK doctoral stipend levels, and participation in international conferences and other activities as required by the project.

This project is part of an FP7 project called STRANDS (http://www.strands-project.eu), involving 30+ people, of whom a team of 4 already work at L-CAS (http://robots.lincoln.ac.uk). In the overall project we investigate autonomous mobile robots that must perform 4D mapping in human environments. By this we mean producing not just a map of space (3D mapping), but also of the activities that occur within that space. Such activity maps are necessary for robots to act autonomously within a space shared with humans for long periods of time.

The PhD position is offered in the area of autonomous exploration to complete and refine the acquired 4D maps. The successful candidate will be expected to design, conduct and publish original research on this topic, including developing novel approaches for mobile robot exploration that help to maximise the information gain in spatio-temporal maps, while taking into account the dynamics, changes and evolving activities that occur in real world environments. The studentship offers the opportunity to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions.

You should have a Bachelors or Masters in Computer Science, Electronic Engineering, Mathematics or Physics. You should have excellent mathematical and coding skills (C++/Python, ROS), and be available to start work on the project around October 2013.

In the first instance please contact Tom Duckett and Marc Hanheide (tduckett@lincoln.ac.uk, mhanheide@lincoln.ac.uk), with your CV and transcript.  Put “STRANDS PhD application” in the subject line.  Deadline for applications is the 31st August 2013.

————————————————————————–
Special Issue on
COMPUTER-BASED INTELLIGENT TECHNOLOGIES FOR IMPROVING THE QUALITY OF LIFE

IEEE Journal of Biomedical and Health Informatics (J-BHI)
————————————————————————-

GUEST EDITORS

————

Dr. Oscar Martinez Mozos, University of Lincoln, UK
omozos@gmail.com
http://webpages.lincoln.ac.uk/omozos

Prof. Cipriano Galindo, University of Malaga, Spain
cipriano@ctima.uma.es
http://mapir.isa.uma.es/cgalindo

Prof. Adriana Tapus, Ecole Nationale Superieure de Techniques Avancees, France
adriana.tapus@ensta-paristech.fr
http://www.ensta-paristech.fr/~tapus

GOAL AND SCOPE
————–
According to the United Nations, the population ageing during the twenty first century is “unprecedented.” By 2050, 2 billion persons over the age of 60 are projected to be alive, implying that their number will once again triple over a span of 50 years. This projection suggests a rapid increment in the number of people with dementia and other disabilities related to ageing. At the same time, the world ratio of disabilities and impairment cases not directly related to elderly people will also augment. For example, the World Health Organization indicates a twofold increase in the magnitude of visual impairment in the world by 2020 in comparison to 1996. These cases are due mainly the rapid growing of the population in less developed regions. Finally, the Organization for Economic Co-operation and Development warns about future shortages of available health workers and doctors. If we join the previous three factors, we get a new situation in which the world needs “extra” help for facing health and medical related problems.
Quality of Life (QoL) technologies have emerged as the concept of applying findings from different technological areas to assist people in their daily life activities, and to help health workers, caregivers, and doctors in their tasks. It is of particular interests the QoL technologies based on artificial intelligence. Therefore, we invite researchers from the fields of computer science, robotics and autonomous systems, bioengineering, and medicine, among others to submit their original works.

The ultimate goal of this special issue is to become a reference for researches in different domains that are interested in computer-based intelligent technologies for improving the quality if life.

TOPICS
——
Examples of topics of interest include, but are not limited to:

– Medical technologies: health/cognitive information/monitoring systems, brain computer interfaces, intelligent prosthesis, bio-signal/image analysis and interpretation, diagnosis, etc.

– Ambient intelligence: intelligent/smart rooms and houses, people activity monitoring and recognition, detection of accidents, wearable intelligent sensors, etc.

– Robotics: personal and service robotics, rehabilitation robotics, cognitive robotics, tele-presence, etc.

– Performance metrics and evaluation of intelligent systems for Quality of Life.

– etc.

Please, do not hesitate to submit your work if you think your topic is related to QOLTs (even if it is not included in the previous list). This issue aims to be a multi-disciplinary publication and researches from any discipline are very welcome.

IMPORTANT DATES
————–
Submission of Manuscripts: 15 December 2013
First reviews due: 15 February 2014
Final Decision: 1 April 2014
Publication: 1 June 2014

SUBMISSION
———
For up-to-date information about the submission process please check:

http://webpages.lincoln.ac.uk/omozos/JBHI_special_issue_2013.html

CONTACT
——-
Please send your questions to:

Dr. Oscar Martinez Mozos
omozos@gmail.com

Or to any other guest editor.

LINKS
———
– Homepage: http://webpages.lincoln.ac.uk/omozos/JBHI_special_issue_2013.html 

– IEEE Journal of Biomedical and Health Informatics (J-BHI)

http://bme.ee.cuhk.edu.hk/JBHI/

-Pre-Organized Session on Quality of Life Technologies at IWINAC 2013
http://www.iwinac.uned.es/iwinac2013/Sessions/S09.html

RoboJam, or simply two days of robot programming, took place in the computing labs in the last weekend of October, 2012! The event, organised by our student Peter Anderson and Computing Society, was targeted at students with little or no programming knowledge and its aim was to improve student engagement in computing subjects. The final event was preceded by several weeks of preparations as a part of the LCND funded project.

Overall, RoboJam was a success; the participants enjoyed themselves and now feel more confident with regards to programming. Some of the highlights from these two days were reported by the local media.

Videos and more technical stuff can be found in the following pages.

• Youtube videos: http://www.youtube.com/user/ComputingSociety?feature=watch
• Blog: http://robojam.blogs.lincoln.ac.uk/
• Github: https://github.com/gcielniak/RoboJam/