Aalborg University contributes to the knowledge building of the global society as well as the development of prosperity, welfare and culture of Danish society. This is accomplished through research, research-based
education, public sector services and knowledge collaboration. Aalborg University educates students for the future and activities are based on a dynamic and transformative collaboration with the surrounding
community.

AAU Energy is a dynamic engineering research department in continuous growth and inspiring surroundings. AAU Energy has a very international environment and covers all areas of clean and sustainable energy
systems of the future within electrical, thermal and mechatronic energy technology. AAU Energy has campuses in both Aalborg and Esbjerg, this position is in Esbjerg.

The mission is to be world leading in both research and research-based education of the energy engineers of the future. AAU Energy has approx. 300 employees of many nationalities, of which 25 are administrative
staff. In addition, AAU Energy constantly has approx. 50-70 guest researchers from around the world.

Research and teaching are in the absolute world elite in the field of energy, and we have extensive and leading workshop and laboratory facilities, where research and innovation are carried out in direct collaboration with industry to a great extent.

The position is offered in relation to the research program"Offshore Drones and Robotics(Robotics)," and the Postdoc will be positioned in the Esbjerg Section.

Research areas will include the implementation and fine-tuning of large language models(LLMs) to enhance accuracy and efficiency, and the development of retrieval-augmented generation(RAG) systems for better integration and output relevance. The candidate will work on optimizing database interaction and management to support these models, ensuring efficient data processing and security. Additionally, they will develop user-friendly web interfaces for interaction with the LLM.

The ideal candidate for the postdoctoral position should possess a Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a strong focus on machine learning and natural language processing. They should have hands-on experience in implementing and fine-tuning large language models(LLMs) and retrieval-augmented generation(RAG) systems. Proficiency in database interaction and management is essential, along with a solid understanding of integrating these components into user-friendly web interfaces. The candidate should demonstrate a robust research background, evidenced by relevant publications, and exhibit excellent programming skills in languages such as Python, as well as experience with frameworks like TensorFlow or PyTorch. Strong problem-solving abilities, effective communication skills, and the ability to collaborate in a multidisciplinary team are crucial for this role. 

You may obtain further professional information from Associate Professor, Petar Durdevic,+4531751320,pdl@et.aau.dk.

Read more about AAU atwww.aau.dk 
Read more about the AAU Energy atwww.energy.aau.dk  

Qualification requirements: 

Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.

The application must contain the following:

• A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
• A current curriculum vitae.
• Copies of relevant diplomas(Master of Science and PhD). On request you could be asked for an official English translation.
• Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
• Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
• Additional qualifications in relation to the position. References/recommendations.
• Personal data.

The applications are only to be submitted online by using the"Apply online" button below.

Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.

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

For further information concerning the application procedure, please contact HR Servicecenter EST by mailest-ef-hr@adm.aau.dk 

Information regarding guidelines, ministerial circular in force and procedures can be seenhere. 

Wages and employment

Ref number

2024-224-06021

Deadline

19.09.2024