Funded PhD positions in large-scale machine learning at Aalto University, Finland

[rohit babbar]

Applications are invited for PhD positions and research assistants in machine learning at Aalto University, Finland. These are fully funded positions for the broad topic of machine learning with large number output categories/labels, covering aspects including (i) development of deep learning algorithms for large output spaces, (ii) learning with missing labels/feedback in search and recommendation systems, (iii) few/zero shot learning, (iv) multi-modal learning. 

For information on applying, and the recent works from our research group, please refer to my webpage : https://sites.google.com/site/rohitbabbar/Home 

The position is hosted at the CS department, further information on campus and location can be found here https://www.aalto.fi/en/study-at-aalto/studying-on-the-aalto-campus 

Requirements: Strong background in Linear Algebra, and probability/statistics. Excellent programming skills in python, and experience with deep learning frameworks (such as PyTorch).

Other relevant publications are listed below :

[1] Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification, Neurips 2021

[2] SiameseXML: Siamese networks meet extreme classifiers with 100M labels, ICML 2021

[3] Unbiased Loss Functions for Extreme Classification With Missing Labels, https://arxiv.org/abs/2007.00237

[4] On Missing Labels, Long tails and propensities in Extreme Multi-label Classification, KDD 2022