Postdoc in Machine learning for control

Job description

The Division of Decision and Control Systems is currently looking for a research engineer with an engineering background and interest in physics-informed machine learning, mathematics, and learning for control. The successful candidate will join a world-renowned team on the interdisciplinary project: developing physics-informed machine learning models for control. We are pioneers in exploring the synergy between physics-informed learning and its transformative impact on control systems.

The Division of Decision and Control Systems conducts fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as Hitachi Energy, ABB, Ericsson, and Scania. A major part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

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
• Guidance on relocating and settling in KTH and in Sweden 

Read more about what it's like to work at KTH and our benefits.

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
• Good command in English, as it is required in the daily work.
• Knowledge of Python or similar programming language.

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality
• Collaborative abilities
• Independence
• Familiarity with Tensorflow or PyTorch
• Some background in machine learning or physics-informed neural networks

Great emphasis will be placed on personal skills.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

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

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

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.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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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.