We are looking for a master's student to join our team for a part-time position.
The role is both analytical and experimental in nature and includes the development and prototyping of new algorithms, fine-tuning state-of-the-art models, and evaluating their performance on extensive data sets.
What youll be doing:
As a research student in our team, you will take part in advanced exploratory research.
The ranges of problems you will deal with include natural language processing, machine learning, classification, speech analytics, and image processing.
In this role you will cooperate with senior researchers in identifying needs, defining the research topics and the desired outcomes as well as collaborating with researchers in the lab on joint tasks.
The role is both analytical and experimental in nature and includes the development and prototyping of new algorithms, fine-tuning state-of-the-art models, and evaluating their performance on extensive data sets.
What youll be doing:
As a research student in our team, you will take part in advanced exploratory research.
The ranges of problems you will deal with include natural language processing, machine learning, classification, speech analytics, and image processing.
In this role you will cooperate with senior researchers in identifying needs, defining the research topics and the desired outcomes as well as collaborating with researchers in the lab on joint tasks.
Requirements:
What youll need:
MSc/PhD student in computer science or related fields
Solid understanding of natural language processing, machine learning, and deep learning principles.
Proficiency in Python and experience with HuggingFace models and deep learning frameworks such as TensorFlow or PyTorch.
Good analytical skills and creative thinking
Good system-level understanding of problems
Independent and innovative with the ability to lead problem definition and goal definition processes
Good communication skills
Fluent in English
You will have an advantage if you also have:
Familiarity with Generative AI, LLMs, and Transformers an advantage
Experience in Industry a big advantage.
What youll need:
MSc/PhD student in computer science or related fields
Solid understanding of natural language processing, machine learning, and deep learning principles.
Proficiency in Python and experience with HuggingFace models and deep learning frameworks such as TensorFlow or PyTorch.
Good analytical skills and creative thinking
Good system-level understanding of problems
Independent and innovative with the ability to lead problem definition and goal definition processes
Good communication skills
Fluent in English
You will have an advantage if you also have:
Familiarity with Generative AI, LLMs, and Transformers an advantage
Experience in Industry a big advantage.
This position is open to all candidates.
