Biostatistics internship in neurophysiology of decision making - ERJ1223 (Master Students only)
1A-B, rue Thomas Edison, Strassen L-1445, Luxembourg
06/12/2023 16:13:04
Background.
Human decision-making is underpinned by complex neuronal activities, which can manifest as varied behaviors, particularly in the context of gambling. Pathological gambling, for instance, may be linked to deficits in implicit, or statistical, learning. The Iowa Gambling Task (IGT) has been instrumental in studying decision-making under uncertainty. Our existing dataset comprises concurrent Electroencephalography (EEG) and Eye-tracking recordings from an expanded IGT paradigm. This dataset captures a behavioral divergence between participants who adaptively learn and those who do not. Such variation presents a unique opportunity to delve into the neural substrates that support adaptive decision-making strategies.
The insights garnered from this project have the potential to contribute to a foundational understanding that could one day inform interventions for disorders characterized by decision-making deficits, including pathological gambling.
Objectives.
This project aims to define the EEG statistical signature of decision-making under uncertainty. By analyzing EEG dynamics and correlating them with IGT outcomes, we will attempt to differentiate the neural patterns that underlie adaptive versus maladaptive learning processes.
Training and research environment.
The LIH is an equal opportunities employer. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.The LIH is attentive to gender representation among its leadership staff and aims to eliminate obstacles to the recruitment and promotion of female leaders and their career development
Within the Translational Medicine Operations Hub at the Centre of Competences for Methodology and Statistics, the candidate will wok in collaboration with biostatisticians and methodologists. The LIH documentalist will provide training and support to enable the intern to define a search methodology of the litterature ion the subject.
REQUIRED PROFILE
· Enrolled master's student specializing in statistics, mathematics, applied mathematics, or data science.
· Proficient in MATLAB or Python, with demonstrable experience in these environments.
· Experience with the analysis of medical or biological datasets, particularly involving neural data.
· Strong command of English, capable of articulating complex concepts both verbally and in writing.
· Excellent organizational skills, able to manage multiple aspects of a research project effectively.
· Highly motivated individual with the discipline to collaborate within a multidisciplinary research team, contributing to a dynamic learning environment
mAIN ACTIVITIES
· Conduct a literature review to update current knowledge in the field of neuroscience relating to decision-making under uncertainty, integrating recent findings with existing theories.
· Develop or refine existing MATLAB or Python scripts to preprocess, analyze, and visualize EEG data, focusing on statistical properties relevant to decision-making processes.
· Perform data extraction for the application of network measures analysis, such as calculating graph theory parameters, to elucidate the underlying structure of EEG data in the context of the IGT.
Contacts
Dr Michel Vaillant & Dr Eduardo Rosales Jubal
Centre of Competences for Methodology and Statistics
Translational Medicine Operations Hub
1ab Rue Thomas Edison
L-1445 Strassen, GDL
Email: michel.vaillant@lih.lu /eduardo.rosalesjubal@lih.lu
In Short
- Contract type: 6 months internship
- Work hours: Full time
- Location: Strassen
- Start date: March/April 2024
- Ref: JF/INT1223/ERJ/Biostatistics
HOW TO APPLY
Applications including a cover letter and a curriculum vitae, should be sent through our website via the apply button below. Please apply ONLINE formally through this web page. Applications by email will not be considered.All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
GENDER EQUALITY
The LIH is an equal opportunities employer.We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.The LIH is attentive to gender representation among its leadership staff and aims to eliminate obstacles to the recruitment and promotion of female leaders and their career development
