Research engineer in data analysis and control for smart buildings - Hiring in process/Finished, not possible to apply

Job description

We are looking for a research engineer for a project named "HiSS – Humanizing the Smart Sustainable Society", funded by Digital Futures. The project is a collaboration between different Schools at the Royal Institute of Technology (KTH). The tasks include analysis of data, designing algorithms and implementing algorithms in smart building environments.

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.

Read more about what it is like to work at KTH

Qualifications

Your personal qualities are also very important for us. As a person, you are independent with the ability to prioritize, organize and plan tasks based on changed circumstances. You enjoy working together and maintaining good relations with both internal and external actors. 

Knowledge and skills that are meritorious for this position are:

• Subject-related and professional skills
• Independence, collaborative abilities, and experience of leading activities
• Research expertise
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Ability to work towards research results being utilized in practice and to inform about research and development work

Requirements

A graduate degree or an advanced level (higher education) in Electrical Engineering or Mechanical Engineering. 

In order to succeed in the position the candidate must have work experience and knowledge in the area of building automation and/or data analysis in buildings and a good understanding of building dynamics. The ideal candidate should have worked as a research engineer or researcher with similar tasks.

Preferred qualifications

It is meritorious to have education in computer science, experience in network systems, machine learning, data analysis, and of software tools and programming languages such as MATLAB, R, Python.  Knowledge in statistical methods and software development is also meritorious.

You feel confident in writing scientific articles and assume that both your written and oral English are advanced.

Great emphasis will be placed on personal competency.

Trade union representatives

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

Application

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.

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 12 months, with access according to agreement.

Other information

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.