Research assistant at Chair of Applied Economics (NLP, GNN, Record Linkage)

20%-30%, Zurich, fixed-term

We have been working with a large amount of tabular data, text data, and graph-structured data at the Chair of Applied Economics. Data sources involved are global firm ownership data, scholarly publication data and patent data. To support further projects at our chair, we are looking for research assistants who are willing to contribute to text classifications, record linkages (incl. deduplication) and node classification/link prediction in graph-structured data.
The position will start as soon as possible. 

Job description

Task 1: Record linkages and deduplication between large datasets.

Task 2: Text classification using neural networks.

Task 3: Node classification/link prediction in graph-structured data in networks such as scholarly publication networks.

You are encouraged to apply just for a single task. You might be conducting the tasks in a team or individually.

Your profile

- Master student from ETH/Uni. Ideally, in the field of computer science or data science.

- Skill set

• For all tasks: Python
• Task 1:
• Task 2:
  • Experience with popular deep-learning libraries (e.g., Keras, TensorFlow, or PyTorch)
  • Experience with state-of-the-art NLP models, e.g., Transformer and Hugging Face
• Task 3:

- Language: English.

- OS: Windows, Linux (CPU/GPU servers).

- You can work 20% during the semester and full time during the semester break.

Your workplace

Your workplace

We offer

We offer you an interdisciplinary team with good support and a friendly learning environment. Furthermore, you will get the possibility to work onsite/remotely and the potential to work on a master thesis/semester project opportunities at MTEC/INFK, incl. mentoring and networks.

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Curious? So are we.

We look forward to receiving your online application with the following documents:

• CV

• Motivation Letter

• Course transcripts

Concerning the interview, we might be giving you a small mock task as part of the interview.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Chair of Applied Economics can be found on our website https://cae.ethz.ch/. Questions regarding the position should be directed to Ms. Susie Rao, [email protected] (no applications).

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.