Research Assistant in Knowledge-driven Recommender Systems DKW (2025-224-06249)

Research Assistant in Knowledge-driven Recommender Systems DKW (2025-224-06249)

The Data, Knowledge, and Web Engineering group, Department of Computer Science, The Technical Faculty of IT and Design, invites applications for a position as research assistant from March 1, 2025. The position is a fixed-term position that ends in December 2025. The place of work is the Aalborg Campus. The Department of Computer Science at Aalborg University is highly regarded among researchers, students, and external partners because of its leading research, education, and collaboration. The department currently has more than 150 scientific staff, 20 administrative staff, and 1,300 students. Our research is recognized internationally and nationally to be at the highest level of excellence according to community standards, prioritizing quality over quantity. We balance applications and theory, and societal and scientific impact, applying research to solve real-world problems, while also conducting foundational research with potential long-term impact. As part of this, we are acknowledged and respected for close collaboration with industry and for applying research to create impact and value for society. Our educations are problem-based and recognized for producing highly skilled graduates with very high employability, who are experienced with project work on solving real-world problems in diverse teams and able to think critically about the technologies they develop. You can read more on www.cs.aau.dk.

Jobbeskrivelse

Your job responsibilities

• Performing research within knowledge graph-based methods for recommender systems

• Writing and contributing to scientific papers

• Programming and testing baseline methods as well as new methods

Qualification Requirements
You have an MSc degree in computer science, software engineering, or a closely related field.

Required qualifications:

• Good programming skills in Python

• In-depth knowledge about recommender systems

• In-depth knowledge and programming skills in machine learning frameworks used in recommender systems

• As a person, you have good interpersonal skills, are inclusive and team-oriented and able to contribute to a good work environment.

We expect you to be able to write and speak English at the academic level.

Assessment
The assessment of candidates for the position will be carried out by qualified experts.

Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.

When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position.

Questions about the position
If you have any questions about the position, please contact Professor Katja Hose, [email protected].

The application must contain

• A motivating text outlining your reasons for applying, and intentions and visions with the position.

• Your curriculum vitae, including personal data, educational background, scientific qualifications, dissemination skills, participation in committees and boards, and additional qualifications relevant for the position.

• Copies of relevant diplomas(Master of Science). On request you might be asked for an official English translation.

• A complete list of publications.

• References/recommendations(optional).

Your application including attachments must be sent electronically by clicking the“Apply online” link below.

The application must be written in English.

For further information concerning the application procedure please contact Human Resources by [email protected].

Information regarding guidelines, ministerial circular in force, teaching portfolio and procedures can be seen here.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace

Terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities. Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state(AC collective agreement)(only in Danish) and circular concerning protocol on certain terms of employment of academic staff at universities(only in Danish).

Løn og ansættelsesvilkår
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities(the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities. Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state(AC collective agreement)(only in Danish) and circular concerning protocol on certain terms of employment of academic staff at universities(only in Danish).

Ansøgningsfrist
2025-02-27

Ref. nummer
2025-224-06249

Afdeling
Department of Computer Science