Research is looking for a student to join our Intelligent Automation group.
At our group were developing the next generation of No code UI Automation.
These new generation of software can be taught to perform tasks without any programming.
Instead, they collaborate and interact with users, watch, and understand how they perform their tasks, and transform these understanding into automation code.
These capabilities are powered by LLMs and transformers models that support combination of natural language, vision, and semantic understanding tasks.
Your Role and Responsibilities:
We are seeking a student to join our Intelligent Automation research team and contribute to our ambitious innovation efforts. As a student you will be responsible to develop and adapt state of the art LLMs and Transformers. Your job will include conducting research, preparing datasets, training models, and demonstrating the use of the models in prototypes of No-code UI Automation platforms.
Requirements: MSc or PhD student in Computer Science, Information Systems, or a related field with a focus on NLP / LLM
Experience with implementing Deep Learning models (Pytorch, GPUs)
Hands-on experience in one or more: Python, JavaScript, Typescript
Preferred Technical and Professional Expertise
In depth knowledge and/or experience with: Computer Vision, Self-supervised Learning
Experience in publishing at peer-reviewed conference/journals.
This position is open to all candidates.
