[Eeglablist] Open Post-Doc Computer Vision Position

[Ryan McNamara]

Dear EEG Lab List,


Dandelion Science Corp (https://urldefense.com/v3/__https://dandelion.science__;!!Mih3wA!AUT6h7EtNURagvvRWdfbBeN4jssytzg0Oo9gTPgzLsQWVBczViLGXUsEhPWpRq-QsY2esXnqLSEg1EuCqBd8qqZMJ2otOgEf3MxAHw$ ) has a research
collaboration with the Swiss Federal Institute of Technology Lausanne
(EPFL) and we are looking for a post-doctoral researcher with expertise in
computer vision. The position description is below. Please let me know if
you or others you know are interested.


Thank you,

Ryan McNamara

Director of Operations, Dandelion Science


Job Title: Post-Doctoral Researcher - Computer Vision / Generative Video /
AI

Post-Doctoral Researcher at EPFL on generative video and computer vision –
start date as soon as possible!

Application open until filled

Position Description

We are seeking a post-doctoral researcher for an 21 months (renewable)
project to work on cutting-edge research with a Swiss-US startup, Dandelion
Science, and the MIP:Lab of the Ecole Polytechnique Fédérale de Lausanne
(EPFL) located at the Campus Biotech in Geneva, Switzerland. The project is
at the interface between an industrial partner and the MIP:Lab headed by
Prof. Dimitri Van De Ville.

Start date is as soon as possible (date may be negotiable).

The post-doctoral researcher will join a team of academic and industrial
group members to work on developing new computational frameworks for
generative AI and video analysis. This involves creating models to analyze
and generate visual dynamics and link the visual dynamics to evoked neural
dynamics. The role requires a mix of theoretical, algorithmic, and
empirical work, collaborating closely with an industrial partner in the
healthcare technology/AI field to bring the technology to market.

We are interested in maintaining the rich diversity in our work teams and
encourage applications from all interested candidates. The salary range at
EPFL is competitive and the quality of living in Switzerland is
outstanding.

Qualifications

The ideal candidate will hold a Ph.D. in Computer Science, Electrical
Engineering, or a related field, with a strong emphasis on generative
image/video models, AI, and computer vision. They should have extensive
experience in developing, implementing, training, and validating
computational models and algorithms, particularly within the realms of
generative video and machine learning. Proficiency in Python is essential,
along with expertise in deep learning frameworks like PyTorch or
TensorFlow. Familiarity with neuroimaging techniques and data analysis,
particularly M/EEG, is a plus. The candidate should excel in
problem-solving and possess the ability to work effectively within a
multidisciplinary team. Strong communication skills, both written and
verbal, are crucial for articulating complex technical concepts and
research findings.

About Dandelion Science

Dandelion Science is a Swiss-US Generative Neuromodulation™ company,
committed to advancing precision therapies for vision and brain disorders.
Led by a world-class team, Dandelion's mission is to enhance the lives of
people affected by these conditions through the integration of advanced
generative technologies and deep scientific expertise. The company boasts
extensive intellectual property, has received prestigious funding from the
US National Institutes of Health and the Swiss Innovation Agency, and has a
multi-year development partnership with the Wyss Center, a neuroscience
research foundation in Geneva, Switzerland.

Application Instructions

Qualified candidates should send a motivation letter, CV with publication
list, one-page personal research statement, and contact information of
three referees, to Ryan McNamara (ryan.mcnamara at dandelion.science) with
subject line “[NFB-POSTDOC] <Your Name>”. You can also provide a link to a
short 2-minutes video introducing yourself.