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Part-time programmer with experience in algorithmic fairness – DTU Compute

Danmarks Tekniske Universitet (DTU)



We seek a part-time programmer to assist with a research project on representation learning for algorithmic fairness in generative AI models. Your tasks will include designing and implementing tests for demographic bias in generative AI models such as large language models or text-to-image models, as well as actively taking part in writing papers based on those experiments.
We seek a part-time programmer to assist with a research project on representation learning for algorithmic fairness in generative AI models.

Part-time programmer for algorithmic fairness
Your tasks will include designing and implementing tests for demographic bias in generative AI models such as large language models or text-to-image models, as well as actively taking part in writing papers based on those experiments. Work independently but supervised by members of the research team.

Our expectations of you
We seek a candidate with excellent skills using, adapting and analyzing state-of-the-art machine learning models. We seek a candidate with prior experience working with algorithmic fairness.

What we offer in return
We offer an opportunity to join an exciting, societally relevant research project and take an active part in research collaborating with the team.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations (AC). The position is for 15 hours per week for a period of 6 months. The starting date will be June 1 or as soon as possible thereafter.

The position Is located in the Section for Visual Computing at DTU Compute.

Application and contact
Please submit your online application no later than 22 May 2024 (23:59 Danish time). You can apply for the position online at www.career.dtu.dk. Open the “Apply now” link, fill out the form and attach your motivated application, CV, and exam certificates.

If you would like additional information about the position, please contact Aasa Feragen: [email protected].

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.

Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Adresse:

Matematiktorvet
2800 Kgs. Lyngby

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Ansøg inden 2 dage (22.05.2024)
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Danmarks Tekniske Universitet (DTU)

Anker Engelunds Vej 1, 2800 Kgs. Lyngby

DTU udvikler teknologi for mennesker. Med vores forskning og uddannelser i international topklasse er vi med til at skabe en bedre verden, og vi bidrager til løsningen af de globale udfordringer formuleret i FN’s 17 verdensmål for en bæredygtig udvikling.

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