[visionlist] Eastern European Machine Learning summer school (EEML), 1-6 July 2019, Bucharest Romania — APPLICATIONS NOW OPEN

Call for Participation (apologies for crossposting)Eastern European Machine Learning summer schoolJuly 1-6, 2019, Bucharest, RomaniaWeb: http://bit.ly/2TmL3sv contact at eeml.euDetails about the application process are available online at http://bit.ly/2BdZdoD for applications: March 29, 2019, 23:59 Eastern European TimeNotification of acceptance: first round April 19, 2019; second round April 26, 2019Motivation and descriptionEEML is a machine learning summer school that aims to promote topics around machine learning and artificial intelligence and to encourage research in these fields. The summer school will be held in Eastern Europe — this year in Bucharest, Romania. By bringing together high quality lecturers and participants from all over the world, we strive to enable communication and networking among the Eastern Europe research communities and students as well as with researchers and groups from around the world.The school is open to participants from all over the world. The selection process has equal opportunities and diversity at heart, and will assess interest and knowledge of machine learning. The theme of the 2019 edition will be Deep Learning and Reinforcement Learning. The programme consists of lectures and hands-on practical sessions on core topics such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Generative Models. Additional advanced topics include Medical Imaging and Bayesian Learning.List of confirmed lecturers so far:Anca Dragan, UC BerkeleyAndrew Zisserman, University of Oxford & DeepMind

Antoine Bordes, FAIRDmitry Petrovich Vetrov, Higher School of Economics, Moscow & SamsungDoina Precup, McGill University & DeepMindLucian Itu, Transilvania University of Brasov & Siemens

Nal Kalchbrenner, Google AI

Rahul Sukthankar, Google AIRazvan Pascanu, DeepMind

Tinne Tuytelaars, KU LeuvenVolodymyr Mnih, DeepMindZeynep Akata, University of Amsterdam & Max Planck Institute for InformaticsLabs are led by:David Szepesvari, DeepMindDiana Borsa, DeepMind & University College LondonMihaela Rosca, DeepMindViorica Patraucean, DeepMindOrganisersDoina Precup, McGill University & DeepMindRazvan Pascanu, DeepMindViorica Patraucean, DeepMindElena Burceanu, BitdefenderGabriel Marchidan, IasiAI & Feel IT ServicesMarius Leordeanu, Politehnica University of Bucharest & IMARTraian Rebedea, Politehnica University of BucharestPartnersPolitehnica University of Bucharest, Faculty of Automatic Control and Computer ScienceRomanian Association for Artificial IntelligencePoster sessionParticipants will have the opportunity to present their research work and interests during poster sessions. The work described does not have to be novel. For example, participants can present their experience of reproducing published work.Social eventsThe programme includes several opportunities for socialising and networking, such as welcome reception, gala dinner, half-day relaxing activities.ScholarshipsA limited number of scholarships will be offered to participants based on financial considerations.More infohttps://www.eeml.eucontact at eeml.euFollow us on Twitter https://twitter.com/EEMLcommunity


[visionlist] 3-year PostDoc position for investigating visual decision (neuroimaging, deep learning) with Radoslaw Cichy, Freie Universität Berlin

3-year PostDoc position for investigating visual decision making (neuroimaging,
deep learning) with Radoslaw Cichy, Freie Universität Berlin

A full-time PostDoc position is available at the Neural Dynamics of Visual Cognition Lab of Radek Cichy  at Freie Universität Berlin, Germany. Appointment is for 3 years. The position is funded by the German Research Foundation and is carried out in collaboration with the lab of Prof. Obermayer (Technical University Berlin).Preferred starting date is 1st of July 2019 (flexible, earlier preferred).The project investigates the neural basis of visual decision making in the human brain for real-world scene stimuli. For this it will use a variety of methods: (i) neuroimaging methods fMRI (3T) and MEG/EEG to resolve visual information flow in space and time, (ii) computational modelling (deep neural networks), and (iii) behavioural assessment.Analysis of data will be carried out using multivariate analysis techniques, in particular decoding and representational similarity analysis.
We seek a highly qualified PostDoc with a doctorate in a relevant field (e.g., psychology, neuroscience, computer vision, cognitive science, …) and shared interests in the research topic described above. The researcher should have extensive research with either EEG/MEG or fMRI methodology or both, as well as very good programming skills (matlab or python).

Interested candidates should send a CV, a brief statement of research interests and the names and contact details of two academic references to rmcichy@gmail.com until February 28th 2019, but later applications will be considered until the position is filled.
Looking forward to hearing from you!Radek

[visionlist] PhD Studentships – Perception, Attention and Memory Group at Nottingham Trent University, UK

[visionlist] Post-doc position at CNAM ParisTech and ONERA, France

Dear colleagues,

We propose a post-doctoral position in the field of remote sensing and machine learning. The research project will focus on Change Detection and Semantic Classification for Multimodal SAR / Optical Data Time Series. Objectives are to develop methods for fast and massive change detection, able to lead to the creation of multimodal learning datasets, and to design neural networks fo change detection and semantic classification in this context.

Information abouut the project and the application procedure can be found here: http://bit.ly/2Uqjhv9

This is a fully-funded 18-21 month position. It will be held between CnamParistech (Michel Crucianu, Mihai Datcu) and ONERA (Èlise Koeniguer, Bertrand Le Saux), in Paris, France.

Bertrand Le Saux


[visionlist] Reposting: Now a 3(!)-year PostDoc position (up to 6yrs) at the Scene Grammar Lab, Goethe University Frankfurt, Germany

Reposting: Now a 3(!)-year PostDoc position (up to 6yrs) at the Scene Grammar Lab, Goethe University Frankfurt, Germany

Sorry for reposting this advert, but the job only got better ;o) Changes marked with *

NO NEED to reapply if you already did!

A full-time PostDoc position will be available in the Scene Grammar Lab of Melissa Vo at the Goethe University in Frankfurt, Germany.

Initial appointment will be for *three (!) years with the option to renew up to 6 years.

Preferred starting date: *September 2019

The lab’s core research areas include top-down guidance in scene search, neural representation and development of scene knowledge, as well as action-perception interactions in real-world scenarios. This is the complicated way of saying that we really LIKE SCENES and all that comes with it! We use a variety of methods, including psychophysics, stationary, real-world and VR eye-tracking, as well as EEG. Most importantly, you would be joining a super enthusiastic, fun and warm-hearted team of great minds and personalities here in the lab. 

We are seeking a highly qualified PostDoc with a doctorate in a relevant field (e.g., Psychology, Neuroscience, Computer Vision, Cognitive Science, …) and shared interests in the core research areas described above. The researcher should ideally have extensive experience with eye tracking and/or EEG/MEG methodology and/or computational modeling; experience with developmental studies is also welcome but not required. 

Since this is a University position, it comes with 4SWS of teaching BSc/MSc courses, which at the Goethe University translates to teaching 4 (identical) seminars to 4 different groups of BSc students *only during the summer semester (= easy), or by offering more individualised courses to either BSc or MSc (= interesting); or a mixture of both (= FUN!). All teaching done by our group is in English, but knowing how to pronounce “DANKESCHÖN” would certainly be a plus. The big PRO of this position is that it is NOT dependent on external funding, there’s no fixed research agenda and therefore you can be bold and creative in what you would want to work on in our lab with a perspective to stay up to 6 years. 

Located at the heart of Europe, Frankfurt (am Main) is one of the most international cities in Germany with a vibrant and international community of cognitive neuroscientists, cognitive psychologists, computational modelers, and vision scientists. The Goethe University Frankfurt, offers a wide variety of academic programs and numerous research facilities. In addition, Frankfurt has become a hub for cognitive science/neuroscience in Germany and is home to renowned research institutes such as the Max Planck Institute for Brain Research, the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, the Frankfurt Institute for Advanced Studies (FIAS), and the newly founded Max Planck Institute for Empirical Aesthetics. 

Interested candidates should send a CV, a brief statement of research interests, and the names and contact details of at least two academic references to mlvo@psych.uni-frankfurt.de preferably before *February 3rd 2019, but later applications will be considered until the position is filled. 

I look forward to hearing from you!

Thanks for your consideration,

Melissa Võ

[visionlist] postdoctoral fellow position in machine learning


Seniors….not your parents!)




START DATE: Late-Spring / Summer 2019

This position is in the lab of Jeremy Wolfe. We conduct

psychophysical/behavioral research primarily in the

area of visual attention. How do you find what you are looking for 

in a world full of things you are not looking for? How do

radiologists find a tumor in an x-ray? How do their eyes move

when they are searching? Why do we miss things? How can we

keep track of several things at the same time? Healthy young

adults are the experimental observers for most experiments.

Medical image perception, especially with radiologists as

observers, is an increasingly large aspect of work in the lab.


The position involves all stages of the research

process, from planning experiments and preparing documents for

the human subject review board to helping write up results for

publication; but the main focus is data collection and analysis.

Research assistants typically attend and present at one scientific

meeting each year, funding permitting.

This position requires a Bachelor of Arts or Bachelor of Science 

degree. A major in Psychology or related field would be

preferable, but is not necessary. Some research experience would

also be useful. Strong interpersonal and communication skills are

needed in order to successfully work with expert observers (e.g.

radiologists). A candidate should have some computer experience

and should be willing to learn how to use our statistics, graphics,

and word processing packages.  Programming experience is not

necessary, but familiarity with MATLAB would be a plus.

Familiarity with eye tracking would be another plus. A candidate

must be able to work in an organized, independent manner on

multiple tasks and should be able to interact with subjects in a

tactful and pleasant manner.

This is an excellent position for a recent college graduate who

wants to spend two or more years in a research setting before going

on to graduate or medical school.


A two-year commitment is required.

The position is not appropriate for those with advanced degrees.

Visa and funding issues make it extremely difficult to hire non-US residents.

Non-citizens with permission to work in the US are welcome to apply.

The Visual Attention Lab is committed to diversity and inclusion in hiring for this position.

This position could start anytime between about May 1 and Sept 1, depending on the candidate’s schedule (Finish college first!).

If interested, please send an email to Jeremy Wolfe.



Jeremy M Wolfe, PhD 
Professor of Ophthalmology & Radiology, 
Harvard Medical School

Visual Attention Lab   
Department of Surgery   
Brigham & Women’s Hospital

65 Landsdowne St
4th Floor
Cambridge, MA  02139 

Phone:  617-768-8818
Fax:  617-768-8816

Best email: jwolfe@bwh.harvard.edu
Backup: jeremywolfe0131@gmail.com
URL: search.bwh.harvard.edu

Editor: Cognitive Research: Principles and Implications (CRPI)
CRPI is the new open access, peer-reviewed journal of the Psychonomics Society
Do you do “use-inspired, basic research” in Cognition? That is what we publish.

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