Job Summary Table of Digital History Researcher at University of Luxembourg

Job Description Summary

The University of Luxembourg seeks a talented Postdoctoral Researcher in Digital/Computational History to join their innovative Impresso project. This role offers a unique opportunity to conduct groundbreaking research at the intersection of digital humanities, machine learning, and media history.

Responsibilities

• Conduct original data-driven historical research on the theme of “media influences”
• Develop innovative computational research methods using Impresso’s multilingual newspaper and radio corpus
• Contribute to the design of the Impresso web app and data lab
• Engage in outreach activities, including workshops, conferences, and trainings
• Participate in on-site meetings with project partners in Switzerland
• Contribute to other Impresso work packages as needed

Benefits and Perks

• Competitive salary of EUR 83,099 per year (gross)
• Opportunity to work in an international and interdisciplinary team
• Access to cutting-edge research facilities and resources
• Collaboration with renowned experts in digital humanities and machine learning
• Professional development opportunities through workshops and conferences

Company Overview

🏛️ The University of Luxembourg, founded in 2003, is a dynamic international research university with a distinctly multilingual and interdisciplinary character. With over 6,700 students and 2,000 employees from around the world, it ranks #3 worldwide for its “international outlook” according to Times Higher Education.

Company Culture

🌍 The University of Luxembourg embraces inclusion and diversity as key values. The institution prides itself on its modern, personal atmosphere and its commitment to removing discriminatory barriers in recruitment and career progression. With staff from 90 countries, the university offers a truly global working environment.

Career Growth Opportunities

📈 As part of the Impresso project, postdoctoral researchers have the chance to:

• Pioneer new methods in computational history
• Collaborate with leading institutions across Europe
• Publish groundbreaking research in top-tier journals
• Present findings at international conferences
• Develop a strong network in the digital humanities field

Diversity, Equity, Inclusion, and Belonging

🤝 The University of Luxembourg is fully committed to creating an inclusive environment for all employees. They actively work to remove any discriminatory barriers related to gender or other factors in recruitment and career progression.

Equal Opportunity Statement

The University of Luxembourg is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Remote Work Policy

🏢 This position is based on-site at the Belval campus in Luxembourg. While the university supports flexible working arrangements where possible, regular presence on campus is expected for collaboration and access to research facilities.

Application Process

1. Review the job requirements and ensure you meet the qualifications
2. Prepare your application documents (CV, cover letter)
3. Submit your application through the University’s online HR system
4. Applications received by August 1, 2024, will be given full consideration

Application Deadline

📅 August 1, 2024

How to Apply

To apply for this position, please submit your application online through the University of Luxembourg’s recruitment portal. Applications sent via email will not be considered.

Required application materials: – Curriculum Vitae – Cover letter

Social Media Links

• University of Luxembourg on LinkedIn
• University of Luxembourg on Twitter
• University of Luxembourg on Facebook

FAQs or Additional Information

Q: What is the Impresso project?

A: Impresso – Media Monitoring of the Past II is an interdisciplinary research project that uses machine learning to analyze historical newspaper and radio collections across time, languages, and national borders.

Q: Who are the project partners?

A: The project is carried out by the Luxembourg Centre for Contemporary and Digital History (C2DH) in collaboration with Swiss partners, including EPFL, the University of Lausanne, and the University of Zürich.

Q: What funding supports this position?

A: The project is funded by the Swiss National Science Foundation (SNSF) and the Luxembourg National Research Fund (FNR).

Q: Is knowledge of specific languages required?

A: Fluency in English is required. Knowledge of French, German, and/or Dutch is considered an asset but not mandatory.

Q: What technical skills are advantageous for this role?

A: Knowledge of Python, machine learning (specifically representation learning), and experience working with data from historical newspaper and radio collections are all considered advantageous.

This exciting postdoctoral position at the University of Luxembourg offers a unique opportunity to contribute to cutting-edge research in digital and computational history. As part of the innovative Impresso project, you’ll have the chance to work with an international team of experts, leveraging advanced computational methods to analyze historical media across languages and modalities.

Your role will involve conducting original, data-driven research on media influences, developing new computational methods, and contributing to the design of innovative digital tools. This position is ideal for candidates with a strong background in both historical research and computational methods, offering the chance to bridge these fields in novel ways.

The University of Luxembourg provides an excellent environment for interdisciplinary research, with its multicultural atmosphere and state-of-the-art facilities. As a postdoctoral researcher, you’ll benefit from the university’s strong international connections, opportunities for professional development, and commitment to fostering a diverse and inclusive academic community.

If you’re passionate about exploring new frontiers in digital humanities and want to be at the forefront of computational approaches to historical research, this position could be the perfect next step in your career. Don’t miss this chance to join a world-class research team and contribute to groundbreaking work in digital history.

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