The open source TSMS ModelarDB developed by Aalborg University will be used by the on-going research project“6G-XCEL” to manage extreme amounts of time series data. ModelarDB provides lossless and lossy compression by fitting mathematical functions, e.g., constant or linear, to time series within a user-defined error bound(possibly zero). This compression is combined with a scalable query processing engine that can execute queries on the compressed representation to yield a unique combination of high compression, fast data ingestion, and scalable aggregate query processing. ModelarDB is implemented in Rust and uses Apache DataFusion for query processing, Apache Arrow for in-memory storage, and Delta Lake with Apache Parquet for on-disk storage. More information about ModelarDB can be found at: https://github.com/skejserjensen/ModelarDB. The most recent version of ModelarDB can be found at: https://github.com/ModelarData/ModelarDB-RS.

Research content:

In the 6G-XCEL project, Aalborg University will work on extending and optimizing ModelarDB for managing time series in the settings of 6G-XCEL. As part of this, ModelarDB must be optimized for the domain specific requirements of 6G-XCEL., e.g., massive time series.

Requirements:

- Master and bachelor degrees in computer science or similar

- Demonstrated ability to work independently as well as in a team

- Excellent communication skills in English, oral as well as written

- Good low-level software development skills, e.g., in C, C++, and/or Rust

- Experience with the Rust programming language

- Experience with time series compression(lossy and lossless) 

Applicants with an excellent scientific background and publication record and experience with ModelarDB will be preferred. 

Responsibilities:

- Participate in the 6G-XCEL research project

- Perform excellent scientific research

- Develop research prototypes and conduct experiments

- Integrate the proposed methods with or in ModelarDB

- Publish in leading international conferences and journals

- Participate in activities of the group and the department

Some teaching within the educations offered by the Department of Computer Science can be expected. 

You may obtain further scientific information from Professor Torben Bach Pedersen, tbp@cs.aau.dk.

About the Data Engineering, Science and Systems(DESS) group:

DESS research focuses on data-intensive systems, spatio-temporal data management, data analytics, and applications of machine learning, with applications in digital energy and intelligent transport. International evaluations place DESS in the global top tier. For example, csrankings.org lists DESS as no. 1 in Europe and no. 9 in the world within Databases for the period 2023-2024. More information about DESS can be found at:https://www.cs.aau.dk/research/Data-Engineering-Science-and-Systems

About Aalborg University:

According to the most recent US News and World Ranking, Aalborg University ranks 2nd in Europe and 16th in the world within Best Universities for Engineering. According to a 2018 MIT report, Aalborg University is considered to have the 4th best engineering program in the world. According to the recent Times Higher Education Impact ranking, Aalborg University ranks 9th in the World for UN SDG Impact.

Qualification requirements:

The required level of qualifications is at master level.

Appointment to Research Assistant may be for a period of up to three years. Reappointment may be made, but a Research Assistant can only be appointed to Research Assistant for a period of maximum three years. Further information regarding guidelines, ministerial circular in force and procedures can be seen here. 

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. 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 department by mail est-st@adm.aau.dk. Information regarding guidelines, ministerial circular in force and procedures can be seen here. 

Wages and employment

Ref number

2025-224-06298

Deadline

01.04.2025