Requirements

• PhD in a relevant discipline
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• 3+ years of hands-on experience leading teams building advanced ML / NLP / AI systems in academia (e.g. through student supervision) or industry
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• Strong publication record in top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR) ) with specific focus on training data curation, synthetic data generation, etc
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• Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, …)
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• Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, …)
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• Excellent communication skills to report and present research findings and developments clearly, both orally and in writing
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• Curious and innovative disposition capable of devising novel, well-founded algorithmic solutions to relevant problems
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• Good social skills and ability to motivate, inspire and mentor team members
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• ...