2 Ph.D. positions in Machine Learning - Lund/Stanford
2 Ph.D. students in Machine Learning at Lund University (Sweden).
Position type: Ph.D. scholarship
Research area: Machine Learning
Start: September 2019 or later
Duration: 4 years
Where: Lund University - CS department
Application closing date: July 29, 2019
Supervisor: Professor Luigi Nardi (luigi.nardi [at] cs.lth.se)
Position description: https://lu.varbi.com/en/what:job/jobID:280143/
These projects, financed by WASP (Wallenberg AI, Autonomous System and Software Programme), aim at introducing innovative algorithms and methodologies to overcome the limitations of multi-objective black-box optimization. They are part of a collaboration with Stanford University. The students will be encouraged to apply to the WASP exchange program with Stanford to work closely with collaborators.
Topics of interest:
Derivative-free optimization (DFO)
Algorithm configuration and selection
Automated machine learning (AutoML)
Neural architecture search (NAS)
Learning to learn
Meta learning and transfer learning
Reinforcement learning (RL)
Optimization of neural networks
Evolutionary algorithms (EA)
Discrete optimization and NP-hard problem solving
Data-driven analysis of algorithms, hyperparameter importance, etc.
Some applications of interest:
Image classification, Natural Language Processing (NLP), Simultaneous localization and mapping (SLAM), Design space exploration (DSE), Optimizing compilers, Hardware design: CPU, GPU, FPGA, CGRA, ASIC.