Student assistant for AI course development (Matlab/Jupyter)

Job description

We are looking for a motivated student assistant to support the preparation of educational materials for a faculty workshop on data-driven methods. The materials will be used in hands-on sessions and are aimed at introducing AI tools and methods to the faculty at the Department of Engineering Mechanics.

You will help create self-contained notebooks in MATLAB Live Script and Jupyter that draw on Keras built-in datasets and examples wherever possible covering:

1. Linear and logistic regression.
2. Supervised classification and unsupervised learning methods (e.g. clustering).
3. Neural networks (NN), recurrent neural networks (RNN), and sparse identification of nonlinear dynamics (SINDy).
4. Convolutional neural networks (CNN) and autoencoders.
5. Prompt engineering and data preprocessing.
6. Reinforcement learning.
7. Transformer models. 

You will work closely with faculty members from the organising team, receive guidance on content, and contribute to the creation of clean, pedagogical, and reproducible materials for educators.

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
• An opportunity to contribute to a strategic educational initiative at KTH
• Insight into pedagogical design and AI methods
• Collaboration with experienced researchers and educators
• Flexible working hours and remote work possible

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

Qualifications

Requirements

• Ongoing studies at KTH or another Swedish university, preferably in engineering, computer science, applied mathematics or related fields.·
• Solid knowledge of Python and/or Matlab.
• Familiarity with core machine learning concepts (e.g. regression, classification, neural networks).      
• Ability to work independently and communicate clearly.

Preferred qualifications

• Previous experience with Jupyter Notebooks and Matlab Live Scripts.
• Experience using machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with SINDy, transformer architectures, or prompt engineering.
• Prior teaching or tutoring experience.

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 in order to apply for this position. You are responsible to ensure that your application is complete according to the instructions in 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 2 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.

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