Jobs

There are always positions available at different levels (e.g., interns, Ph.D. students, and postdocs).
If interested you are welcome to contact me!

If you want to visit my lab as a guest researcher or exchange student you are welcome to inbox me.

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Ph.D. Positions with the CSC Scholarship in Machine Learning Group at HZDR, Germany, and IARAI, Austria

The Machine Learning Group at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) is an active academic lab focusing on data science and artificial intelligence techniques in Earth observation. We design, develop, and implement state-of-the-art algorithms and frameworks where a variety of datasets, e.g.multi- and hyper-spectral imagery or laboratory measurements are used to sense the Earth.

Our group currently offers several open positions for outstanding Ph.D. Candidates with the support of the China Scholarship Council (CSC) at the Helmholtz Institute Freiberg for Resource Technology, HZDR.

Available categories

• Full Ph.D. student: 48 months
• Visiting Ph.D. student: 6 - 24 months

Topics of particular interest to the group include

• Large-scale image analysis
• Inductive biases in deep learning systems
• Multisensor and multitemporal data fusion
• Adversarial attacks and defenses
• Domain adaptation and transfer learning
• Weakly supervised learning
• Unsupervised learning
• Change detection
• Semantic segmentation
• Scene classification
• Visual question answering
• Zero- and few-shot learning

General entry requirements

• Solid machine learning and image processing knowledge
• Familiar with deep learning packages like Pytorch/Tensorflow
• Excellent programming skills in Python
• English proficiency

We offer

• Advanced computing resources
• A chance to work on unique bleeding-edge problems
• Interaction and exchange with first-class specialists
• Competitive additional salary apart from the CSC scholarship

The potential Ph.D. candidates can send CVs and personal statements to Prof. Dr. Pedram Ghamisi (p.ghamisi@hzdr.de ). Suitable candidates will be selected through a competitive procedure.