KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
We seek for a research engineer to work on the development of Continuous Deep Analytics (CDA), a project funded by SSF which aims to provide the foundations for data programming systems following two main avenues of research: (i) Algorithms, programming Languages and optimization for continuous analytics on data streams such as time-varying relational models, linear algebra and dynamic graphs ; (ii) Distributed Runtime for complex and fast hardware-accelerated (GPUs, FPGAs) as well as data-parallel processing on data streams with large state. Project Web: https://cda-group.github.io
The chosen candidate will contribute to the development of several of the systems that are being developed within the project. 1) The Arcon runtime system which is the world’s first Rust-based stream and batch processing engine. (2) Kompact, an open source software library originated at KTH which targets distributed programming support which is also written in Rust and used to compose functionality in Arcon.
The candidate will also work closely with PhD students and Faculty at KTH, participate in the research group's regular meetings and discussions and brainstorming sessions. Furthermore, it is expected that the chosen candidate will aid with system evaluation tasks that are necessary for research publications and important for the success of the project.
Applicants must hold or be about to receive a MSc degree in Computer Science (or equivalent). The Msc degree must have been obtained within the last three years from the application deadline (some exceptions for special grounds, for instance sick leave and parental leave).
The candidate should have a strong background from at least two of the areas distributed systems, data science, data intensive computing, machine learning and deep learning.
Strong skills in operating systems, networks and distributed systems is a requirement.
Track record in contributing to Open-Source is a plus.
Well-developed analytical and problem solving skills are a requirement. We are looking for a strongly motivated person, who is able to work independently as well as in an international research team, and have an awareness of diversity and equal opportunity issues, with specific focus on gender equality.
The applicant should have at least one year of experience in using the Rust programming language or C and a public portfolio of project contributions. Good command of English orally and in writing is required to present and publish research results.
Great emphasis will be placed on personal competency.
You will find contact information to trade union representatives at KTH's webbpage.
Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.
The application should contain the following:
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The employment is valid for a limited time according to the agreement - for up to 12 months with the perspective of an extension to another 12 months, with access according to agreement.
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment: Temporary position longer than 6 months
|Title||Research Engineer in Scalable Data Processing Systems|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||May 4, 2021|
|Application deadline||May 12, 2021|
|Job types||Researcher,   Engineer  |
|Fields||Algorithms,   Programming Languages,   Computational Sciences,   Machine Learning  |