Modeling Thalamocortical Dynamics using Spiking Neural Networks

The Foundation for Research on Information Technologies in Society (IT’IS), an independent, nonprofit research organization closely associated with the Swiss Federal Institute of Technology (ETH) Zurich, is currently seeking applicants for the post as

Modeling Thalamocortical Dynamics using Spiking Neural Networks (Master's Student Internship)

We are seeking a motivated and curious Master’s student to contribute to a cutting-edge computational neuroscience project focused on developing a detailed, biologically plausible spiking neural network (SNN) representation of the thalamus. Your role will involve the design, implementation, and optimization of a thalamic SNN, as well as the integration of this model with an existing neural mass model (NMM)-based description of cortical dynamics. The overarching goal is to simulate macroscale thalamocortical dynamics and investigate their role in the emergence and maintenance of various brain states, with an eye towards applications in closed-loop non-invasive brain stimulation (NIBS) and sleep research.

Your challenges:

• Conduct a literature review on SNN models of the thalamus, focusing on thalamocortical interactions/synchronization
• Implement an SNN that captures key thalamic dynamic properties and integrate this network into an existing NMM-based model of cortical physiology
• Develop strategies for training and optimizing the model parameters to ensure biological plausibility and computational efficiency
• Compare the models against state-labeled human EEG recordings to validate the replication of brain state transitions and maintenance

Your strengths:

• Bachelor's degree (or equivalent) in neuroscience, biomedical engineering, physics, mathematics, computer science, machine learning or a related field
• Experience with scientific programming (Python, MATLAB)
• Familiarity with concepts in computational neuroscience and/or neural networks
• Strong analytical skills and ability to work with complex, multi-modal datasets
• Strong sense of responsibility and commitment to the highest quality standard of work
• Self-motivation, good organizational and communication skills, impeccable attention to detail, friendly personality, and team-spirit
• Ability to manage multiple tasks simultaneously, to work independently in a fast-paced setting, and to meet tight deadlines
• Commitment to effectively respond to the needs of partners and customers
• Proficiency in English (both written and spoken), ability to communicate in German is a plus

Our offer:

• Vibrant, multicultural, and innovative work environment that drives research in key technologies and fosters diversity and inclusion
• State-of-the-art laboratories, high-performance computing clusters, and production facilities
• Creative mix of global talents that span the fields of physics, electronics, mathematics, biology and more, striving for excellence and high ethical standards
• Flexible working hours at a workplace in the heart of Zurich

Applications will be accepted until the position is filled. Direct applications are preferred; applications submitted via recruitment agencies are discouraged. Please note that incomplete applications will be disregarded.

Please send your application documents (in English) consisting of motivational letter, tailored CV (max. 2 pages), diplomas, transcripts (with grades), work certificates and/or reference letters (if available) to:

Zurich43, Charlotte Roberts, Zeughausstrasse 43, 8004 Zurich, Switzerland, +41 44 245 96 96, E-Mail schreiben

Informal inquiries are welcome and should be directed to Dr. Taylor Newton.