Research Staff Member / Post-doctoral researcher: Machine learning & AI explainability

WorkplaceZurich, Zurich Region, Switzerland


Research Staff Member / Post-doctoral researcher: Machine learning & AI explainability

Ref. 2018-19

About the position

The AI for Industries group at IBM Research – Zurich is working on cutting-edge AI research and applications to transform businesses across industries. We are working on deep-learning methods for predictive analytics and on explaining our predictions. We are looking for a person to join our effort on explainable AI and deep neural networks. The type of position (post-doctoral research or Research Staff Member) will depend on the person’s expertise.

The successful candidate is passionate about advancing science and creating the next generation of AI solutions. The person will have the opportunity to work in a collaborative and creative group, and participate in high-impact projects for large-scale, real-world industrial problems.

Required expertise

  • PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical fields
  • Strong programming skills in Python
  • Experience with standard machine-learning techniques and frameworks, including but not limited to TensorFlow, Keras, scikit-learn or PyTorch
  • Experience in working with time and event series data
  • Ability to conduct independent research
  • Excellent communication and team skills
  • Strong publication record in venues such as AAAI, ICLR, ICML, IJCAI, NIPS.

Desired expertise

  • Knowledge of big-data processing frameworks (e.g., Spark stack)
  • Knowledge of Scala programming language.


IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.

How to apply

If the above position fits your background, please send your complete CV, including a list of publications and skills, as well as contact information for three references to:

Claudia Longchamp
Human Resources ,
In your application, please refer to
and reference  JobID 41401.

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