Generative Modeling with Spiking Networks: A PhD Research Opportunity
Funded by the Swiss National Science Foundation, we seek two PhD students to work in the area of generative modeling using spiking networks.
Spiking networks are neural networks that mimic biological dynamics, where information is represented as sequences of impulses.
We will investigate the relationship between spiking networks and diffusion-based generative models. Additionally, we will explore the interface between binary spikes and continuous signals required for generative applications.
This research will be grounded in speech synthesis, leveraging previous work in the lab on speech recognition.
About the Project
Candidates should have a strong background in physics, mathematics, or engineering, with computer science also being relevant. Programming skills, machine learning, and statistics expertise are essential.
The positions are fully funded for four years, contingent on steady progress, and lead to a PhD dissertation.
Research Environment
We offer competitive salaries and conditions in a dynamic, multicultural environment. Our institute engages in fundamental research, education, and technology transfer in artificial intelligence, machine learning, and signal processing.
Required Skills and Qualifications
* Master's degree (or good bachelor's) in physics, mathematics, or engineering
* Computer science may also be suitable, with emphasis on differential equations and programming skills
Benefits and Opportunities
We value diversity and foster creativity and innovation. Our official working language is English, and we emphasize equality of opportunity and inclusivity.
Contact Information
Please submit your application, including your CV, academic records, and research statement. We look forward to reviewing your application.