PhD Researcher on The Neurocognitive Mechanisms of Repetitive Negative Thoughts / PhD Researcheress on The Neurocognitive Mechanisms of Repetitive Negative Thoughts

PhD Position on The Neurocognitive Mechanisms of Repetitive Negative Thoughts

100%, Zurich, fixed-term

A World-Class Research Environment at the Intersection of Neuroscience and Technology

The Neural Control of Movement Lab, led by Prof. Dr. Nicole Wenderoth, and the Brain-Body Regulation Lab, led by Prof. Dr. Sarah Meissner, at the Department of Health Sciences and Technology (D-HEST) of ETH Zurich, invite exceptional candidates for a PhD position to investigate The Neurocognitive Mechanisms of Repetitive Negative Thoughts. The NCM Lab focuses on understanding how the brain controls behavior and developing non-invasive interfaces to modulate brain function during wakefulness and sleep. The BBR Lab investigates the mechanisms underpinning brain arousal and its interactions with other bodily systems.

Together, these labs deploy state-of-the-art neuroimaging and biofeedback techniques, with a shared commitment to translating fundamental neuroscience insights into clinical and consumer applications. D-HEST emphasizes interdisciplinarity, translation, and technological innovation aimed at improving quality of life. Situated in the heart of Zurich, Switzerland, the department offers a stimulating environment at the nexus of world-class basic research and clinical application, with strong ties to leading industry partners.

Project Background

Repetitive negative thoughts (RNT) are persistent, intrusive, and maladaptive thought patterns central to depression and anxiety. Despite their clinical importance, the neurocognitive mechanisms underlying RNT remain poorly understood.

This project tests the novel hypothesis that RNT arises from reduced sensitivity to environmental change, manifesting as impaired adaptation of learning to environmental volatility, driven by abnormal noradrenergic signaling. In close collaboration with the University of Oxford, we combine cutting-edge computational modeling of human behavior with pupillometry and functional magnetic resonance imaging (fMRI) to address this question.

Job Description

The successful candidate will design and conduct experiments that modulate noradrenergic activity using a pupil-based self-regulation approach developed in our lab (Meissner et al., Nature Human Behaviour, 2024), while measuring RNT, behavior, and brain activity using fMRI.

Your work will include:

• Design and implement sophisticated experimental paradigms in human participants
• Acquire multimodal data in human participants, including pupillometry, behavioral measures, and fMRI
• Integrate real-time pupil-based self-regulation into adaptive learning cognitive tasks (Python/MATLAB)
• Apply computational models of behavior and cognition
• Analyze high-dimensional datasets (behavioral, physiological, neuroimaging)
• Publish in leading international journals and present at top-tier conferences

This interdisciplinary project uniquely combines computational neuroscience, experimental psychology, physiology, and neuroimaging, offering a rare opportunity to work at the interface of multiple cutting-edge methodologies. Hands-on experimental work will be a central and substantial component of the position.

Profile

We are looking for a candidate with:

• A Master's degree (or near completion) in human neuroscience, neurophysiology, experimental psychology, biomedical engineering, health sciences and technology, or a related field
• Experience and enthusiasm for data collection in human participants
• Strong programming skills (e.g., MATLAB, Python) and interest in computational approaches
• Experience with analyzing electrophysiological data and/or fMRI data
• A solid understanding of experimental design and statistical analysis
• Experience in scientific writing
• A high level of independence, initiative, and problem-solving ability
• Excellent communication skills and a strong commitment to scientific excellence
• Intellectual curiosity and enthusiasm for interdisciplinary research
• Fluency in English; German language skills are a plus

Workplace

The selected candidate will be part of a vibrant research community committed to innovation and excellence. You will work in a diverse and inclusive environment that fosters collaboration and growth.

We Offer

A fully funded PhD position (~4 years) in an excellent scientific and social environment at a world-leading university. The project combines experimental lab work with computational data analysis and provides an outstanding opportunity to develop a comprehensive scientific skill set.

We Value Diversity and Sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity, and nurture a working and learning environment where the rights and dignity of all staff and students are respected. Sustainability is a core value for us - we consistently work towards a climate-neutral future.

Curious? So Are We.

We look forward to receiving your online application using the form below.

Note: Only applications matching the job profile will be considered.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specializing in science and technology. Renowned for excellent education, cutting-edge fundamental research, and the direct transfer of new knowledge into society, over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.