KTH Royal Institute of Technology 
Stockholm, Sweden Offer Summary
KTH Royal Institute of Technology in Stockholm, Sweden, is seeking a Researcher to develop brain-inspired artificial intelligence. The role focuses on building cortex-inspired neural networks for semi-supervised and unsupervised learning, with primary responsibilities including implementation and optimization on various hardware platforms, such as neuromorphic systems. Candidates must hold a doctoral degree in Computer Science or a related field, possess strong programming skills for scalable code on supercomputers, and demonstrate deep understanding of AI and machine learning. Preferred qualifications include experience with large-scale brain-like neural networks, GPU programming, and teaching ability. The position involves writing scientific articles and participating in academic discussions. Employment is full-time and fixed-term for up to six months. KTH emphasizes equality, diversity, and good working conditions within its dynamic research environment.
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Project Description
Job description
As an applicant, you are expected to build cortex-inspired neural networks for problems in semi-supervised and unsupervised learning. Your primary responsibilities will involve implementation and optimization on various hardware platforms, including neuromorphic hardware.
The goal of this work is to develop brain-like network architectures and carry out high-performance, large-scale implementations.
Your responsibilities will include studying relevant literature, designing and simulating large-scale neural network models on various hardware platforms, including neuromorphic hardware. You will also be expected to actively participate in academic discussions with advisors at KTH and to write scientific articles.
Qualifications
Requirements
- A doctoral degree at advanced level (higher education) in Computer Science or a related field. This eligibility requirement must be met no later than the time the employment decision is made.
- As an applicant, you should have strong programming skills and the ability to develop scalable code for running on supercomputers. You should also have a deep understanding of artificial intelligence and machine learning, particularly regarding neural networks.
- It is essential that you are knowledgeable and well-informed about issues related to diversity and equal opportunity, with a particular focus on gender equality.
- Applicants must have a good command of English and strong verbal and written communication skills, since this is required in the daily work.
Preferred qualifications
- We would prefer that you have prior experience developing and simulating large-scale brain-like neural networks with local learning rules.
- It is advantageous if you have strong collaborative skills and can also demonstrate independence in research and development.
- Knowledge of and proficiency in GPU programming, as well as experience running large-scale computational simulations, are desirable qualifications.
- Furthermore, we would prefer that you have teaching ability and prior experience of developing and leading activities and staff.
Great emphasis will be placed on personal skills.
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
Trade union representatives
Contact information totrade union representatives.
To apply for the position
Log into KTH's recruitment system in order to apply for this position. You are responsible to ensure that your application is complete according to the instructions in 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 conduct research, 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
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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
