here’s a phd position, offerered below, in my lab. If you know someone how might be interested and qualify, feel free to pass the info. Deadline: Feb 1st, 2018 Start date: May/June 2018Gross salary: Approx 27.800€/year Research money (travel etc…): 3.500€/year
Master’s degree in the EU or equivalent (to be decided by the host
university at application), and have not worked/resided in Spain for
more than 12 months (within the last 3y).
There is anumber of possible hosting labs, you shall find my lab’s offer under “Programme description->SEARCH FOR A POSITION (https://hosts.) using the folllowing descriptors:
Science Panel; Human Biology, Microbiology, Molecular Biol….;
Barcelona; Dept of Information and Communication Technologies, DTIC-UPF
or just searching for “cognitive neuroscience”
These positions are pretty competitive, let me know if you are going to file an application or need more info
*see application docs for all the details. Here’s a link with info and application web:
PhD position: Computational modelling of EEG data from visual scene analysis Centre for Computational neuroscience and Cognitive Robotics, University of Birmingham, UK
Contemporary EEG techniques focus on a range of statistical methods, such as fitting general linear models, correlations, time-frequency analysis, dynamic causal models, etc. However, there has been less work on connecting EEG signals directly to computational models of cognitive abilities. Such models are similar to methods in artificial intelligence (AI) which aim at mimicking human cognitive abilities (e.g. playing and winning the ancient board game, GO). The aim of this PhD project is to develop a novel method that tests such computational models by benchmarking them against EEG signals. In other words, this novel method will allow us to establish more directly links between human cognition and EEG signals than contemporary EEG methods. Consequently, we will be able to advance our understanding of neural mechanisms underlying cognitive abilities. As a test case for the new method the project will use the human visual system.
Further information can be found here:
Applicants should have a background in computational modelling, neuroscience, computer science, psychology, physics or related areas. Prior experience in statistical analysis and/or machine learning would be an advantage.
The project will be based at the School of Psychology and the Computational Neuroscience and Cognitive Robotics Centre of the University of Birmingham, UK. The centre provides an excellent multidisciplinary, interactive and collaborative research environment combining expertise in cognitive neuroimaging, psychophysics and computational neuroscience. The psychology department was rated 5th in the UK research assessment exercise.
The application deadline is the 7th January 2018. The starting date is Sept/Oct 2018.
For further information click on
or email: Dr Dietmar Heinke, email@example.com
Mesurex (http://ift.tt/2jQUfIN) is an engineering company at the technological forefront of measurement, automation and process control in the Industrial, Aerospace, Security, Scientific, and Civil Engineering sectors. HQ are located in Málaga, in the Technology Park of Andalusia with offices in Barcelona and Madrid, we solve applications and offer solutions in sensors, measurement, acquisition, data processing and process control systems with the latest technologies since 1996.In the Mesurex Instrumentation and Control Division, we offer a wide range of sensors and measurement systems, either our own or from our partners: world leaders in the field of instrumentation and industrial computing and whose products we represent exclusively. Our know-how is based on the latest technologies of optical fiber sensors and non-contact measurement sensors: Infrared thermometers, thermography LWIR, MWIR, laser based distance and displacement measurement; chromatic, color, inductive, capacitive, radiofrequency based distance sensors, etc.The MLabs division designs, develops and implements Quality and Process Control turnkey projects through image processing, in the visible and in the IR spectrum. We do Instrumentation, Monitoring, Automation, Robotics and Control Projects. MLabs designs, develops and/or integrates advanced products and systems under customer requirements, offering complete turnkey solutions. Once validated and tested the prototype, we perform its industrialization and subsequent series production. Furthermore, Mesurex’s MLabs division also offers its Hardware and Software Design services.Since its beginnings, Mesurex carries out an ambitious R&D program, promoting the generation of new products and services for its customers. We participate in first level R&D consortia, in collaboration with the most prestigious organizations both at the European and at the national level.We are looking for an optical design engineer with interests in applied optical design in imaging and non-imaging systems to join our team. We are looking for a motivated individual to work in a multi-disciplinary team on our on-going and future projects. The candidate should hold a Master’s degree or equivalent in optics or optical engineering and must demonstrate a solid knowledge in the design and optimization of optical systems. Knowledge of tools such as Lighttools, Zemax, or Code V, as well as CAD or image processing software, is desirable. Knowledge and experience in optics handling and assembly would also be a plus. The selected candidate will benefit from growing with a team with senior optical engineers and also be expected to have a high level of independence and initiative.To apply, please send your cover letter and Curriculum Vitae to our head of R&D, Dato Altamirano (dato.altamirano at mesurex.com)
I can only really comment on the Irlen lenses side of things. Some additional search terms that may be helpful:
‘colorimetry’, ‘Meares-Irlen’, ‘overlays’, ‘scotopic sensitivity’ – may bring up some related papers.
Agree there is a limited selection of literature on this topic with regard to reading difficulties. Griffiths et al. (10.1111/opo.12316) sum up the issues nicely. I’ve used coloured overlays extensively in clinical practice and my experience is that while they can be incredibly effective in certain individuals, the evidence base for predicting which patient characteristics are indicative of a strong response is very limited. Another key issue is differentiating between visual stress symptoms originating from a treatable binocular vision problem and those that can be addressed only via coloured filter. There’s also a lack of consistency in the thresholds for prescribing overlays as well – in the Scottish NHS the threshold was a 30% improvement in reading speed for prescribing the chosen overlay after successful treatment of any co-existing binocular vision problems, but this is not consistent across the UK or internationally.
I also had one memorable patient who did not require an overlay, but in fact experienced almost a ‘reverse’ form of Meares-Irlen syndrome – they were incredibly symptomatic for text on yellow paper, with a great reduction in reading speed, but had no issues with white or other colours. Interestingly, there is little focus on this kind of (probably rare) phenomenon in the existing literature on the topic. There is also little exploring the idea that giving an overlay where one was in fact not required may be detrimental to a child’s educational development. I think there is a great need for more qualitative research in this area to accompany the quantitative approaches.
Regarding other uses for coloured filters, they are gaining more traction in the ‘blue light’ screentime controversy with regard to improving sleep quality.
That’s all I can really contribute, apologies it’s not the robust evidence you were hoping for but hope it provides a little insight.
Dr. Marianne Coleman
University of Surrey
Vision scientists will be sorry to learn that Tom Cornsweet died on
November 11 2017, at age 88, in Prescott Arizona, his home for many years.
His death followed a long illness and was not unexpected. After earning a
Ph.D. from Brown in 1955, Tom taught at Yale and the University of
California, Berkeley, and finally the University of California, Irvine,
where he held appointments in the departments of Cognitive Sciences,
Electrical Engineering and Computer Science, and Ophthalmology. He retired
from UCI in 1999, but remained active in applied research and development
on ophthalmic instruments, as he had been throughout his career—his early
work on eye tracking and image stabilization at the Stanford Research
Institute (now SRI International) in the 1960s and 70s led eventually in
1973 to the first commercially viable automated refracting device, the
Acuity Systems 6600 Auto-Refractor. Altogether he obtained 40 patents. His
final official position, from 2013-2015, was Chief Scientist at Brien
Holden Vision Diagnostics, where he continued to develop ophthalmic
instruments of his own invention.
In basic vision science Tom is probably best known today for his discovery
of the remarkable brightness phenomenon known generally as the Cornsweet
Illusion (or sometimes the Craik O’Brien Cornsweet Illusion, acknowledging
earlier investigators). He described and analyzed this effect in his
classic 1970 textbook, Visual Perception, which has always been widely
regarded as a model of scientific exposition. This is especially true of
its treatment of color vision—even today it remains arguably the best
starting point for understanding color matching phenomena—and also for
clarifying the distinction between visual phenomena, like color matching,
where genuine scientific explanation is possible, and other phenomena,
such as color appearance, where the private nature of subjective
experience makes it unclear how the usual tools of science can be applied.
Along with scientific hardware—lenses and such—Tom had a great passion for
rigor in scientific thinking, which he shared (indeed, insisted on) with
his students (Davida Teller being best known) and colleagues. Those
fortunate to work with him always found it a uniquely valuable
experience—one is tempted to say even ennobling. He will be greatly missed
as a scientist and as a friend.
Cognitive Sciences Department
University of California, Irvine
[visionlist] Postdoctoral researcher position working with Functional Near-Infrared Spectroscopy (fNIRS)Posted: November 21, 2017
That’s a very good point Ian. There is an infinite number of hypotheses that provide a perfect fit to any pattern of data.
On Mon, Nov 20, 2017 at 4:46 AM, JERMYN, IAN H. wrote:
I hope it is OK for me to comment on this thread as a bit of an outsider.
> What I meant to say was that a p-value tells you how likely your data are given the null hypothesis, it doesn’t really say anything about the probability of the null hypothesis. So a SMALL p-value means that my data are unlikely given the null hypothesis,
and a LARGE p-value means my data are likely given the null-hypothesis… but they could be even more compatible with some other hypothesis!
That is a nice summary. I would narrow it down even further: the p-value tells you the probability under the null hypothesis of getting the value of your chosen test statistic on the data, or any greater value (values which of course do not correspond
to your data).
The data are always more compatible with some other hypothesis; the question is whether they are compatible with some other plausible hypothesis; but then perhaps we should weight these hypotheses according to their plausibility…starts to sound familiar…