Research Engineers in Neural Graph Databases

Job description

We are looking for two research engineers to work at the intersection between database management systems and modern graph Machine Learning. You will help us design and implement the prototype of the world's first graph database that treats incompleteness as a first-class citizen. 

Incompleteness and sparsity emerge as inherent traits when managing Knowledge Graphs. Natural graphs are missing connections and properties. Yet, modern software systems continue to perceive such incompleteness as a flaw or a mistake, inadvertently overlooking the potential insights it conceals.

Another prevalent challenge in querying massive graph datasets is the increasing query complexity, which leads to high execution times. Despite the immense computing power available, even simple traversal queries could stretch on for hours or, in some cases, days.

In this project, you will get the chance to contribute to Orb DB, a novel graph database that provides fast answers to deep questions on incomplete Knowledge Graphs. Orb DB is powered by recent advances in Graph Neural Networks and Graph Representation Learning to offer

approximated results to complex queries. Additionally, Orb DB is designed to enable trustworthy predictions, offering end-users control over the uncertainty of the predicted query.

As a research engineer within our team, you will assist our research group in developing and investigating new graph database architecture concepts. Possible tasks include:

• Implementing components of the middleware database system.
• Integrating state-of-the-art Graph Machine Learning methods into database operators.
• Developing uncertainty quantification methods for query executions backed by embedding-based inferences. 

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future.
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Work in Stockholm, in close proximity to nature
• Help to relocate and get settled in Sweden and at KTH.
• A position giving you the unique opportunity to work on cutting edge technology with important applications in fields such as healthcare, smart city planning, or finance.

Read more about what it is like to work at KTH

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence, e.g., a MSc degree in Computer Science, Software Engineering, Machine Learning, or similar.
• Experience with one or more general-purpose programming languages (e.g., Java, Python, C/C++, etc.)
• Experience contributing to open-source software.
• Strong problem-solving skills and creative approach to tackling challenges.
• Awareness of diversity and equal opportunity issues, with specific focus on gener equality.
• Collaborative abilities. Independence

Preferred qualifications

• Familiarity with or interest in Graph Machine Learning.        
• Experience with Database Management Systems.
• Familiarity with AWS or GCP.         
• Goal-oriented mentality and good analytical skills.

Great emphasis will be placed on personal skills.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

To apply for the position

Log into KTH's recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to contribute to the project, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

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).

About the employment

The employment is valid for a limited time according to the agreement - for up to 6 months, with access according to agreement.

Other information

The position may include security-sensitive activities. To become authorized, you therefore need to pass a security check.

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence. 

About KTH

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. Read more here

Type of employment: Special fixed-term employment
Contract type: Part-time
First day of employment: According to agreement
Salary: Monthly salary
Number of positions: 2
Full-time equivalent: 50%
City: Kista
County: Stockholms län
Country: Sweden
Reference number: J-2023-3259
Contact:

1. Paris Carbone, parisc@kth.se
2. Fanny Sjöström, HR-administratör, fansjo@kth.se

Published: 2023-12-08
Last application date: 2023-12-17