项目介绍

2024年11月28日

Job description

The research is in the broad area of large language models, deep learning, and graph machine learning algorithms and systems, emphasizing on health and medical data, bioinformatics as potential applications.

The aim will be publishing several research papers at top-tier machine learning and data science conferences based on the research work (e.g., NeurIPS/ ICML/ ICLR/ KDD/ SIGMOD) and showcase applications in Life & Health Sciences. The project’s principal supervisor is Associate Professor Arijit Khan, Department of Computer Science. His research works can be found at https://homes.cs.aau.dk/~Arijit/,https://scholar.google.com/citations?user=6Y-m8k4AAAAJ&hl=en, and at https://dblp.org/pid/67/2933.html.

For further information or questions, please do not hesitate to contact him at arijitk@cs.aau.dk.

Requirements
The applicant must have a Master’s degree in computer science, data science, artificial intelligence, or a closely related field. Due to the project’s interdisciplinary angle, the applicant must have a strong background in algorithm design, machine learning, and software development/ LLMs. Outstanding spoken and written communication skills in English are essential.

Application
The application must contain:

1. A cover letter of max. 1 page, including (i) motivation for applying, (ii) preferred starting date(specifically if other than Feb 01, 2025), and (iii) a brief explanation of the applicant’s background.
2. A research statement roughly within the frame of large language models, deep learning, and graph machine learning algorithms and systems, emphasizing on health and medical data, bioinformatics as potential applications of max. 2 pages (excl. references). This description should outline the applicant’s thoughts and ideas on possible research directions within the context of the topic outlined above.
3. CV
4. Diploma and transcripts of records
5. Contact of two referees
6. Other relevant information

PhD stipends are allocated to individuals who hold a Master’s degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Department of Computer Science in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

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.

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

For further information about stipends and salary as well as practical issues concerning the application procedure, please contact Ms. Annemarie Davidsen, the Doctoral School at the Technical Faculty of IT and Design, email: ada@adm.aau.dk.

For more information of the Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The application is only to be submitted online by using the “Apply online” button below.

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

Wages and employment

Appointment and salary as a PhD fellow are according to the Ministry of Finance Circular of 15 December 2021 on the Collective Agreement for Academics in Denmark, Appendix 5, regarding PhD fellows, and with the current Circular of 11 December 2019 on the employment structure at Danish universities.

Ref number

16-24075

Deadline

19.12.2024