PhD scholarship in Uncertainty Quantification for Large Language Models - DTU Compute
Tasks
- Align expressed confidence with statistical uncertainty estimates
- Collaborate with interdisciplinary research partners
- Develop uncertainty quantification methods for large language models
- Publish and present research findings
- Scale uncertainty quantification to large models
Perks/Benefits
- Academic freedom
- Collegial respect
- Flexible work-life balance
- International research environment
- Monthly seminars
Skills/Tech-stack
Academic publishing | Approximate Bayesian Inference | Bayesian Inference | Bayesian deep learning | Deep learning | Fine Tuning | JAX | Language Processing | Language model training | Large Language Model | Large language model training | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Probabilistic Machine Learning | PyTorch | Uncertainty Quantification
Education
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