Post-doctoral position to study the role of ageing on multisensory perception available in Trinity College Dublin, Ireland
Applications are invited for the role of post-doctoral researcher at Trinity College Institute of Neuroscience (TCIN) to work in the Multisensory Cognition Lab headed by Professor Fiona Newell.
The research is funded by the Health Research Board, in collaboration with Dr. Annalisa Setti, University College Cork and Prof. Ladan Shams, University of California Los Angeles and
is aimed at providing a better understanding of the role of ageing on multisensory perception. The post-doctoral researcher will be based in TCIN and affiliated with the TILDA study at the School of Medicine, Trinity College Dublin. TILDA is a large-scale,
nationally representative, longitudinal study of ageing in Ireland led by Professor Roseanne Kenny. The rich data set acquired through the TILDA study provides a unique and exciting opportunity to explore individual differences in multisensory processes relating
to cognition and health in older adults (for more details see https://tilda.tcd.ie).
The position is initially for 2 years with a possibility for continuation. The salary is based on the Post-Doctoral Researcher at a point in line with Irish Government Pay Policy (Level
2 salary scale €36,850 – €42,600 per annum). The position is available immediately, and the successful candidate is expected to take up the position as soon as possible, but no later than the start
of January 2019.
All candidates must have a Ph.D. in Psychology, Neuroscience or a cognate discipline. Strong analytic skills and proficiency in analysing
large data sets is a requirement for this project. Candidates will have a demonstrable interest in human perceptual function, ideally from a
multisensory perspective. They must be reliable, highly motivated and productive and enjoy working collaboratively. The Multisensory Cognition Lab comprises undergraduate, postgraduate and postdoctoral researchers, providing a rich environment for exchanging
ideas and learning new skills. All members are expected to make a strong intellectual contribution to the overall research programme of the group. Candidates will also be encouraged to take advantage of the highly interdisciplinary environment at the Institute
Applicants should send a cover letter stating their relevant background experience, why they are interested in the post and future ambitions, along with their CV and contact details of 3 academic
referees to email@example.com. Applications will be accepted until the position is filled: the first review of applications will be in
mid-August 2018. Informal enquiries can be directed to Annalisa Setti (firstname.lastname@example.org) or Fiona Newell.
Further Information for Candidates
Trinity College Institute of Neuroscience (www.neuroscience.tcd.ie)
TCIN is based in the Lloyd building within the campus of Trinity College Dublin. It comprises a vibrant academic community of scientists and clinicians from across many disciplines including psychology,
genetics, engineering and gerontology. TCIN is equipped with state-of-the-art behavioural testing labs and accommodates the only research-dedicated
MRI facility in Ireland allowing for on-site functional and structural neuroimaging of the human brain.
Trinity College Dublin (www.tcd.ie)
The University of Dublin, Trinity College was founded in 1592 and its campus is located in the heart of Dublin. Trinity is at the nexus of tradition and innovation, offering
undergraduate and postgraduate programmes across 24 schools and three faculties: arts, humanities, and social sciences; engineering, maths and science; and health sciences. Spread across 47 acres in Dublin’s city centre, Trinity’s 17,000-strong student body
comes from all 32 counties of Ireland, and almost a fifth of students come from outside the country. Of those, 40% are from outside the European Union, making Trinity’s campus cosmopolitan and bustling, with a focus on diversity.
Harish, I’ve spent some time thinking about this problem in the past, and it seems that we have some common ideas, and some differences in opinion. Here are a few thoughts…
1. Is there a good eye tracking system that already has macaque face appearance templates bulit in?
Not that I know of! …but, yours is a good comment, because it suggests that you’re thinking of using face tracking to estimate head pose, which must be combined with eye-in-head angles to recover the gaze vector within a world based reference frame. That’s the right way to approach the problem. If you you aren’t familiar with the technique, there are plenty of good tutorials for head pose estimation online . For example, here is one. I worry a bit that the hairy macaque face may not provide enough stable features for tracking, but I’m not very experienced with the algorithms, so don’t let my hesitations hold you back.
2. Are there any novel ways of placing the screen and tracker that result in better eye-tracking? We have tried various ways of placing trackers below the screen and at various distances from the animal.
You’re going through the trouble of facilitating recording from free moving macaques, and you still want to use a screen!?! Doesn’t that defeat the purpose of facilitating natural behavior? In any case, to answer this question requires a lot more knowledge about what kind of eye tracker you are trying to use. My guess is that you’re using a remote tracker placed near to the screen, and the degradation is due to the small size of the pupil in the remote eye camera when the head is further away. That’s pure speculation.
3. Are there multi-camera eye-tracker systems that we can set-up from different view points so that one or more can always have a clear view of the animal?
Not that I’ve seen. I have discussed building something like this before with colleagues. That would be a feat of engineering and software development that requires a very firm grasp of multiview geometry. That is a multi-year project.
4. Do these systems have hardware input for behavioral event markers and analog/digital outputs of eye-gaze data so that we can sync it with our neural data acquisition?
N/A, because these systems don’t yet exist.
Hope that was somewhat informative. Sorry if it is disappointing!
I’ve recently moved to the new Centre for Cognitive Science at TU Darmstadt, Germany, and I’m looking for PhD students and postdocs to join me there. My lab is interested in visual perception, categorization, concept attainment, and problem solving. We also work on psychophysical methods, probabilistic modeling, and machine learning. The official job ads can be found below (they are in German but speaking German is not a prerequisite; the deadline is end of July). Please contact me if you’re interested.
Centre for Cognitive Science @ TU Darmstadt
The labs of Michelle R Greene (Bates College) and Bruce C Hansen
(Colgate University) are seeking a highly motivated postdoctoral fellow for a
2-year NSF-funded project investigating the neural dynamics of scene
categorization. The project offers an opportunity to engage in cutting-edge
high-density EEG combined with machine learning, computational modeling,
behavioral psychophysics, and neuromodulation.
This position is especially
suited for a candidate interested in pursuing an academic career in a liberal
arts setting. There will be ample opportunity to hone mentorship skills with
undergraduate assistants. The candidate will have extensive interaction with
both PIs, and there are ample opportunities for extended work at Colgate
University as well.
The position is available
starting August 1, 2018. Application materials should include a CV, a brief
statement of research goals, and names and contact information of three
references. Please email all application
materials to both PIs (email@example.com, firstname.lastname@example.org). Informal inquiries may be sent to either PI.
About Bates College: Founded in 1855, Bates is one of the nation’s
leading liberal arts colleges, with a long history of commitments to principles
of human dignity and diversity.
Since its inception, Bates has
been a coeducational, nonsectarian, residential college with special
commitments to academic rigor and to programs and opportunities by qualified
learners of all backgrounds. Historically, Bates students and graduates have
linked education with service, leadership, and obligations beyond themselves.
Bates has highly competitive
admission, graduates over 90% of its entering students, and over half of its
alumni earn graduate degrees. Bates has 1,700 students, 200 faculty members and
550 staff and administrative employees.
The College is proud of its
strong involvements in the Lewiston-Auburn communities, Maine’s second largest
urban area, with a population of approximately 65,000. Bates is located on a
beautiful, 109-acre, traditional New England campus in Lewiston, Maine, a
lively small city enjoying an exciting economic and cultural revitalization.
With an engaged citizenry, lively arts scene, and historic downtown, this
walkable city is 35 miles north of Portland, 140 miles north of Boston, and 340
miles north of New York City.
I am Stefan, a visiting assistant professor at the Department of
Neurophysics at the University of Marburg and Chief Scientific
Officer at Thomas RECORDING GmbH, Germany.
We faced the same problems in the past and are currently working
on a solution, which allows freely moving primates to perform
behavioral tasks in their home cages or special arenas in
combination with eye tracking and single cell recordings.
Recently we finished the first step, i.e. a training and
experimental unit for freely moving primates, which is
commercially available at Thomas RECORDING (please see:
You can find a demo video of the system on Youtube: https://youtu.be/yDOZauNSwqs
In short: The system consists of a ruggedized tablet computer, a
flexible cage-mountable holding device and an integrated reward
unit. Currently the build-in front-facing camera can be used to
monitor the animal and its overall behavior. However, we are
currently working on a software update to implement basic eye
tracking features (fixation control, saccade-antisaccade-tasks,
etc.) to the system.
Furthermore, a trigger interface for synchronization with chronic
recording devices (e.g. the wireless version of the AMEP system
is in development.
Taken together, I think this system should meet most of your
requirements regarding eye tracking and single unit recordings in
freely moving primates. At the moment, you can start training your
animals with the system and getting them used to the new
environment. In the near future, you can upgrade your existing
device with a new software package, giving you the possibility to
track the eyes of the primate and synchronize your behavioral and
eye tracking data with your physiological recordings.
If you have further questions or suggestions, please feel free to
contact me anytime.
Dr. Stefan Dowiasch
Am 14.07.2018 um 21:09 schrieb
Date: Sat, 14 Jul 2018 12:00:45 +0530
From: Harish Katti
Subject: [visionlist] About help on eye-tracking of head free
Content-Type: text/plain; charset=”utf-8″
I am Harish, a post-doctoral fellow in Dr SP Arun’s experimental
vision group at the Centre for Neuroscience, Indian Institute of Science.
I’m posting this to get feedback from researchers who have tried automated
eye-gaze/head-pose/body-pose tracking of freely moving non-human primates.
In our lab we are trying to setup eye tracking in monkeys without any
head restraints. Our plan is to have a behavioural arena where the
animal is not head-fixed and can come up to a touch screen and perform
simple tasks in return for juice rewards. Since the animals are not
head-fixed, the eye-tracking needs to be done in a manner that can
handle change in body and head pose. We have been evaluating a few
commercial eye-tracking systems but find that the trackers have
difficulty in finding the face/eyes. It will be nice to have your inputs
on the following issues,
1. Is there a good eye tracking system that already has macaque face
appearance templates bulit in?
2. Are there any novel ways of placing the screen and tracker that
result in better eye-tracking? We have tried various ways of placing
trackers below the screen and at various distances from the animal.
3. Are there multi-camera eye-tracker systems that we can set-up from
different view points so that one or more can always have a clear view
of the animal?
4. Do these systems have hardware input for behavioral event markers and
analog/digital outputs of eye-gaze data so that we can sync it with our
neural data acquisition.
[visionlist] New application deadline: Neuroscience data analyst opening at European Neuroscience Institute Göttingen, GermanyPosted: July 15, 2018
Please note the new application deadline July 31st, 2018.
The European Neuroscience Institute
Göttingen (ENI-G) is seeking a
Neuroscience data analyst
initially limited until 31.12.2019
with extension options, full-time | salary according to TV-L
The University Medical Center Göttingen
is a tertiary care center and offers great development potential. Its 7,700
employees work in over 65 departments and facilities to provide top-quality
patient care, excellent research and modern teaching. Göttingen, “City of
Science”, located near the center of Germany, the University Medical Center Göttingen
is embedded in the city’s attractive network of scientific research facilities.
The European Neuroscience Institute
is looking to fill the position of a data analyst (full time). We are looking
for a data analyst with interest and experience in systems neuroscience.
Research at the European Neuroscience Institute ranges from molecular biology
to human psychophysics and involves a range of model organisms (from drosophila
to non-human primates), techniques and approaches (electrophysiology,
two-photon imaging, fMRI, EEG, behavior). The data analyst will work closely
with various research groups at the European Neuroscience Institute, supporting
research efforts, e.g., through modelling and statistical analyses of high-dimensional
data, image processing, and programming/development of experiments. S/he will
have the opportunity to develop and publish, e.g., analytical tools that arise
from this work.
The applicant should possess a university degree in a
relevant field, e.g., statistics, biostatistics, informatics, or similar.
Prior experience in the field of systems neuroscience is highly desired.
The applicant should have experience in a research
setting utilizing quantitative methods and statistics. The applicant shall
demonstrate strong analytical skills and knowledge of novel and emerging
analysis techniques is highly desired. Future/forward thinking in the area
of big data analytics/informatics and applying them to contribute to the
research groups’ scientific process is expected.
The applicant should be skilled in the analysis of
multivariate datasets to reveal patterns and build models; conduct
exploratory data analysis, and communicate with team lead/team members;
identify improvements for existing data management and recommend
requirements for new systems.
Contribute to replicability by making suggestions for
existing data management and recommend requirements for new systems and
identify potential data integrity issues.
Utilize programming languages such as Python, Matlab
Good command of English is mandatory.
Women are especially encouraged to
apply. Applicants with disabilities and equal qualifications will be given
We look forward to receiving your application by July 31st, 2018
University Medical Center Göttingen
European Neuroscience Institute Göttingen
Dr. Caspar Schwiedrzik
Please send your application only
via e-mail as a PDF-file.
I’m forwarding this mail on behalf of Dr Goossens.