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Open positions at the Vision Lab, Centre for Neuroscience, Indian Institute of Science (IISc)</div>
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More info : <a href="https://sites.google.com/site/visionlabiisc/jobsearch" target="_blank" id="OWA56c0f2b2-24a8-2c89-0302-4719d3bc3bbe" class="OWAAutoLink" title="https://sites.google.com/site/visionlabiisc/jobsearch" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" data-ogsc="" style="margin: 0px;">
https://sites.google.com/site/visionlabiisc/jobsearch</a><br>
Apply here : <a href="https://forms.gle/vWa1PwUrcpWfXpbE7" target="_blank" id="OWA55b2fcc7-ac42-b280-67a0-131d789d4e7a" class="OWAAutoLink" title="https://forms.gle/vWa1PwUrcpWfXpbE7" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="1" data-ogsc="" style="margin: 0px;">
https://forms.gle/vWa1PwUrcpWfXpbE7</a><br>
Deadline : 31 March 2026<br>
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Snapshot<br>
We see and recognize objects effortlessly but vision is in fact a very hard computational problem. At the Vision Lab IISc, we are trying to unravel how the brain solves these complex problems by combining behavioral experiments and neural recordings with
computational modeling.<br>
We have recently started a number of fascinating projects with real-world impact, such as studying the cognitive processes that drive literacy and numeracy skills in children, building neuroscience-inspired robots and human brain recordings in epilepsy
patients to study vision and language. We are hiring passionate and curious researchers who can take initiative and work independently to tackle complex & challenging problems.<br>
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About Us<br>
We are a group of researchers from engineering and biology backgrounds, united by our interest in understanding vision in brains and machines. Some representative publications from our lab include:<br>
• Jacob et al (2021), Nature Communications (vision in brains and machines)<br>
• Agrawal et al. (2019) Psychological Science (reading, parts and wholes).<br>
• Ratan Murty & Arun (2018), PNAS (object and their attributes in single neurons).<br>
• Pramod & Arun (2016), CVPR (dissimilarities in perception and computer vision).<br>
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About You<br>
You are a researcher who isn't afraid of complex, "noisy" biological data. You have a strong quantitative background to analyze data and are excited by the challenge of finding the mathematical principles underlying the data. You thrive in an environment
that values both conceptual clarity and computational rigor. You work independently with a growth mindset and are curious and passionate about neuroscience. <br>
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Key Responsibilities<br>
• Experiment Design: Design and conduct psychophysics and behavioural experiments with human participants (either children or adults).<br>
• Data Analysis: Conduct sophisticated analysis of behavioural and neural data to extract meaningful and rigorous insights.<br>
• Computational Modelling (if applicable): Develop and test computer vision models (including Deep Neural Networks) to investigate if and how they differ from biological object perception.<br>
• Scientific Impact: Author high-quality, peer-reviewed publications and present research at premier venues in neuroscience.<br>
• Collaboration & Mentorship: Collaborate with various stakeholders, mentor junior researchers, and contribute to lab infrastructure.<br>
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Open Positions<br>
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____Research Assistant____<br>
This position is ideal if you are interested in getting research experience in neuroscience. <br>
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Minimum qualifications:<br>
- Bachelors or Masters degree in neuroscience, computer science, electrical engineering or a related field.<br>
- Proficiency in MATLAB or Python for high-level data analysis<br>
- Curiosity & passion for neuroscience<br>
- Commitment of at least 1 year to define & complete a full project <br>
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Preferred qualifications<br>
- Hands on experience with signal processing, image processing, computer vision or machine learning.<br>
- Hands-on experience with human psychophysics/EEG/MRI data<br>
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____Postdoctoral fellow____<br>
This position is ideal if you are interested in working independently on a scientific problem and learning to extract insights from data. <br>
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Minimum qualifications<br>
- PhD in Neuroscience, Computer Science, Electrical Engineering, or a related quantitative field.<br>
- A strong record of research success, evidenced by first-author publications in peer-reviewed journals or top-tier conferences<br>
- Proficiency in MATLAB or Python for high-level data analysis<br>
- Curiosity & passion for neuroscience<br>
- Commitment of at least 1 year to define & complete a full project <br>
<br>
Preferred qualifications<br>
- Hands on experience with signal processing, image processing, computer vision or machine learning.<br>
- Hands-on experience with human psychophysics/EEG/MRI data</div>
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