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- Aufgaben: Develop Bayesian methods to compare models with neural data and improve evaluations of human visual perception.
- Arbeitgeber: Join the University of Luxembourg, a vibrant international research hub with a focus on interdisciplinary studies.
- Mitarbeitervorteile: Enjoy a modern work environment, high-quality equipment, and connections to the business world.
- Warum dieser Job: Be part of groundbreaking research that impacts society while collaborating with experts from diverse fields.
- Gewünschte Qualifikationen: PhD in cognitive science or related field; experience with Bayesian statistics and neural data analysis required.
- Andere Informationen: Fixed-term contract for 30 months with a competitive salary of EUR 83,099 per year.
Das voraussichtliche Gehalt liegt zwischen 83099 - 83099 € pro Jahr.
Job Description
About us… The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences.
People from across 20 disciplines are working within the Faculty . Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society.
The Department for Behavioural and Cognitive Sciences at the Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg aims to understand fundamental aspects of human cognition and behaviour, and how these relate to societal and individual-level challenges. The BayesCompare project is a FNR funded project on Bayesian comparisons between artificial and natural representations to improve our understanding how natural and artificial intelligences process information. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student.
About the role… You will develop new Bayesian methods to compare models to neural data. You will test the methods to guarantee their statistical properties and apply them to evaluate state of the art models of human visual perception.
You will use the insights to improve the evaluations of models and the models themselves. You will package effective methods to make them available to other researchers. Your profile…
PhD in cognitive science, neuroscience, data science or a related field Enthusiasm for interdisciplinary research & research methods Strong analytical skills and a collaborative mindset Experience with (Bayesian) statistics, deep neural network models, Kernel Methods, or data science Experience with neural data analysis (fMRI, MEG/EEG, Calcium imaging, or similar) Experience with programming, especially in Python & neural data analysis tools in it In return you will get… Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries.
Member of the "University of the Greater Region" (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market.
A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply… Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception.
Please apply ONLINE formally through the HR system. Applications by Email will not be considered. Informal inquiries can be sent All qualified individuals are encouraged to apply.
In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 30 Months Planned start date: September 2025 Work Hours: Full Time 40.0 Hours per Week Location: Campus Belval Internal Title: Postdoctoral researcher Job Reference: UOL07174 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).
PostDoc in Bayesian Comparisons of DNNs - BayesCompare (FNR) Arbeitgeber: Université du Luxembourg
Kontaktperson:
Université du Luxembourg HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PostDoc in Bayesian Comparisons of DNNs - BayesCompare (FNR)
✨Tip Number 1
Familiarize yourself with the latest research in Bayesian methods and deep neural networks. This will not only help you understand the project better but also allow you to engage in meaningful discussions during the interview.
✨Tip Number 2
Connect with current or former researchers from the University of Luxembourg, especially those involved in the BayesCompare project. Networking can provide you with insights into the team dynamics and expectations.
✨Tip Number 3
Prepare to discuss your experience with neural data analysis tools in Python. Be ready to showcase specific projects or challenges you've tackled, as practical examples can set you apart from other candidates.
✨Tip Number 4
Highlight your enthusiasm for interdisciplinary research in your conversations. The role emphasizes collaboration across various fields, so demonstrating your ability to work with diverse teams will be a plus.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PostDoc in Bayesian Comparisons of DNNs - BayesCompare (FNR)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements for the PostDoc position. Familiarize yourself with the BayesCompare project and its objectives.
Craft a Tailored Cover Letter: Write a cover letter that highlights your relevant experience in cognitive science, neuroscience, or data science. Emphasize your enthusiasm for interdisciplinary research and how your skills align with the project's goals.
Update Your CV: Ensure your CV is up-to-date and clearly outlines your academic background, research experience, and any relevant skills, particularly in Bayesian statistics and neural data analysis.
Submit Your Application Online: Follow the application instructions carefully and submit your application through the HR system as specified. Remember, applications sent via email will not be considered.
Wie du dich auf ein Vorstellungsgespräch bei Université du Luxembourg vorbereitest
✨Show Your Interdisciplinary Enthusiasm
Make sure to express your passion for interdisciplinary research during the interview. Highlight any past experiences where you collaborated across different fields, as this aligns with the university's focus on combining expertise from various disciplines.
✨Demonstrate Your Analytical Skills
Prepare to discuss specific examples of how you've applied strong analytical skills in your previous work. Be ready to explain your experience with Bayesian statistics and neural data analysis, as these are crucial for the role.
✨Familiarize Yourself with the BayesCompare Project
Research the BayesCompare project and its objectives thoroughly. Understanding the project's goals will allow you to ask insightful questions and demonstrate your genuine interest in contributing to its success.
✨Prepare for Technical Questions
Expect technical questions related to deep neural networks, programming in Python, and statistical methods. Brush up on these topics and be prepared to discuss your hands-on experience with relevant tools and techniques.
