Junior Postdoc Position: Multimodal Language, Attention and RIFT

We are looking for a postdoctoral researcher to study how the human brain integrates what we hear and what we see during communication. In daily conversations, spoken language is accompanied by a plethora of visual signals such as hand gestures and lip movements. Although these signals unfold at different speeds and provide different kinds of cues, listeners seem to integrate these signals effortlessly. However, how this happens at a neural level remains a fundamental open question in the language sciences.

As a postdoctoral researcher, you will focus on how multi-timescale oscillatory dynamics support multimodal integration and weighting. You will work with EEG/MEG data to measure how language users process and coordinate multimodal signals, and you will work with rapid invisible frequency tagging to track how the brain integrates and attends to speech, gestures and other visual signals over time. You will also work with naturalistic video materials and modern analytical approaches (e.g. MVPA, mTRFs) to capture the temporal dynamics of multimodal processing (i.e. determining which signals are relevant for comprehension at different moments in time). Finally, you will contribute to the development of novel methods to provide causal evidence for the involvement of neural oscillations in multimodal integration and weighting during language processing.

Junior Postdoc Position: Multimodal Language, Attention and RIFT

We are looking for a postdoctoral researcher to study how the human brain integrates what we hear and what we see during communication. In daily conversations, spoken language is accompanied by a plethora of visual signals such as hand gestures and lip movements. Although these signals unfold at different speeds and provide different kinds of cues, listeners seem to integrate these signals effortlessly. However, how this happens at a neural level remains a fundamental open question in the language sciences.

As a postdoctoral researcher, you will focus on how multi-timescale oscillatory dynamics support multimodal integration and weighting. You will work with EEG/MEG data to measure how language users process and coordinate multimodal signals, and you will work with rapid invisible frequency tagging to track how the brain integrates and attends to speech, gestures and other visual signals over time. You will also work with naturalistic video materials and modern analytical approaches (e.g. MVPA, mTRFs) to capture the temporal dynamics of multimodal processing (i.e. determining which signals are relevant for comprehension at different moments in time). Finally, you will contribute to the development of novel methods to provide causal evidence for the involvement of neural oscillations in multimodal integration and weighting during language processing.

Junior Postdoc Position: Multimodal Language, Attention and RIFT

We are looking for a postdoctoral researcher to study how the human brain integrates what we hear and what we see during communication. In daily conversations, spoken language is accompanied by a plethora of visual signals such as hand gestures and lip movements. Although these signals unfold at different speeds and provide different kinds of cues, listeners seem to integrate these signals effortlessly. However, how this happens at a neural level remains a fundamental open question in the language sciences.

As a postdoctoral researcher, you will focus on how multi-timescale oscillatory dynamics support multimodal integration and weighting. You will work with EEG/MEG data to measure how language users process and coordinate multimodal signals, and you will work with rapid invisible frequency tagging to track how the brain integrates and attends to speech, gestures and other visual signals over time. You will also work with naturalistic video materials and modern analytical approaches (e.g. MVPA, mTRFs) to capture the temporal dynamics of multimodal processing (i.e. determining which signals are relevant for comprehension at different moments in time). Finally, you will contribute to the development of novel methods to provide causal evidence for the involvement of neural oscillations in multimodal integration and weighting during language processing.

Postdoc Position: Legal Aspects of Online Tracking and Privacy-Enhancing Technologies

REAL-PETS will generate long-lasting technological, societal and industrial impact: strengthening EU's technological sovereignty, enabling regulators to enforce privacy rules through empirical evidence, technology standardisation, fostering privacy-resilient products and services, and empowering citizens with usable, transparent and trustworthy privacy protections.

As a postdoctoral researcher in law in the interdisciplinary REAL-PETS project, your main tasks within this larger project objective are the following.

• Analysing the legal landscape regarding privacy and online tracking.
• Applying the GDPR and related regulation to newly discovered tracking techniques.
• Analysing legal requirements for the privacy-enhancing technologies (PETs) developed in this project.
• Cooperating with computer scientists who detect known and new tracking techniques and develop privacy-enhancing technologies.

You will work under the supervision of Professor Frederik Zuiderveen Borgesius and Assistant Professor Christine Utz. There will be no teaching or student supervision obligations.

Postdoc Position: Legal Aspects of Online Tracking and Privacy-Enhancing Technologies

REAL-PETS will generate long-lasting technological, societal and industrial impact: strengthening EU's technological sovereignty, enabling regulators to enforce privacy rules through empirical evidence, technology standardisation, fostering privacy-resilient products and services, and empowering citizens with usable, transparent and trustworthy privacy protections.

As a postdoctoral researcher in law in the interdisciplinary REAL-PETS project, your main tasks within this larger project objective are the following.

• Analysing the legal landscape regarding privacy and online tracking.
• Applying the GDPR and related regulation to newly discovered tracking techniques.
• Analysing legal requirements for the privacy-enhancing technologies (PETs) developed in this project.
• Cooperating with computer scientists who detect known and new tracking techniques and develop privacy-enhancing technologies.

You will work under the supervision of Professor Frederik Zuiderveen Borgesius and Assistant Professor Christine Utz. There will be no teaching or student supervision obligations.