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Learning has an open position for a doctoral student with a background and strong interest in deep generative learning and computer vision/remote sensing. The successful candidate will join a project funded
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning
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modern deep learning frameworks (PyTorch, JAX, or equivalent). Have good software engineering habits — modular, well-documented, reproducible code. Are comfortable working in interdisciplinary teams and
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and form an integral part of KTH’s core values as a university and public authority. Learn more about our benefits and what it's like to work and grow at KTH. Trade union representatives Contact
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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measurements. Have a background in computational biology, bioinformatics, or machine learning for biological problems. Have experience with modern deep learning frameworks (PyTorch, JAX, or equivalent). Have
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experience with biological systems, proven ability to conduct research, communicate findings effectively and experience with deep learning models is desirable. Great emphasis is placed on study results and
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business where their research qualifications are increasingly demanded. Recent graduates from the SI PhD program have found opportunities at institutions including Pompeu Fabra, SKEMA, KTH, Tilburg
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of data science tools such as Numpy, Pandas or Matplotlib is a merit, as well as experience of using modern deep learning frameworks such as PyTorch and Tensorflow. “Reproducible research” and “FAIR data