Vacant job

Workplace Description

The position is located at the Department of Psychology at Lund University, within a research environment focused on the cognitive neuroscience of memory. The research group combines high-temporal-resolution electrophysiological methods, particularly EEG, with eye tracking and advanced computational methods to investigate how information is encoded, integrated, and retrieved from memory.

The Department of Psychology conducts research and education within a broad psychological field, with central research areas such as work and organizational psychology, clinical psychology, cognition, neuropsychology, personality and social psychology, as well as developmental psychology. The department has a strong research environment and an educational environment that has long been internationalized.

Project Description

The appointed person will contribute to a project investigating memory for naturalistic experiences. The project aims to identify neural signatures for the encoding, organization, and retrieval of memories during naturalistic cognition, with a particular focus on time-resolved decoding and generalization of cognitive states.

A central goal of the project is to understand how humans transform rapidly changing sensory information into a coherent narrative flow and stable thematic representations. The work will involve designing and implementing analysis pipelines that integrate preprocessing, feature extraction, and model training, with a focus on robustness, generalizability, and interpretability.

Responsibilities

The responsibilities include, but are not limited to:

• designing, conducting, and analyzing EEG experiments related to memory and naturalistic cognition,
• developing and critically evaluating machine learning pipelines for multi-level decoding of EEG data,
• analyzing time-resolved neural data, including temporal generalization and cross-condition decoding,
• implementing advanced preprocessing pipelines for EEG data, including artifact correction and ICA,
• contributing to the development of real-time or near real-time based decoding pipelines, including online preprocessing, feature extraction, and model updating,
• evaluating trade-offs between latency, accuracy, and generalizability in online classification,
• conducting statistically rigorous analyses, including permutation tests and mixed-effects modeling,
• contributing to publications, presentations, and collaborative research activities within the project.

For the complete job advertisement containing qualification requirements and terms, please visit; https://lu.varbi.com/what:job/jobID:944666/ (https://lu.varbi.com/what:job/jobID:944666/)