The following is a posting for an open PhD position at TU Berlin:

PhD position on efficient robotic manipulation, collaboration with Amazon – deadline: June 16

The Learning & Intelligent Systems Lab @ TU Berlin is seeking for a PhD candidate with a strong background in AI & robotics. The project (a cooperation with Amazon Robotics) investigates the application of optimization, learning and robotics methods for planning highly efficient object manipulation by robots, and offers a very interesting research environment in cooperation with Amazon Robotics. The position offers the opportunity to pursue a PhD in this topic.

The Learning & Intelligent Systems Lab (https://argmin.lis.tu-berlin.de/) focuses on research in the field of AI and Robotics, in particular methods that combine AI planning, machine learning and optimization to solve fundamental problems in Robotics and AI. The department is part of the Cluster of Excellence Science of Intelligence and the ELLIS network.

Requirements:

    Successfully completed university studies (Master, Diplom or equivalent) in computer science or a similar technical subject.
    Ideally in-depth knowledge of robotics motion planning, robotics manipulation, and optimization methods.
    Programming experience in the context of the aforementioned methods.
    Very good command of English.

Please write a cover letter for this opening. About myself:
- Name: NAME_1
- Master of Science in Computer Science (3.7 GPA, 1.3 grade)
- Started focusing on Machine Learning since 2016
- Since 2021, employed at Fraunhofer IIS in Nuremberg with a focus on applied Reinforcement Learning. Found out for myself, that I want to pursue a PhD and focus my early adulthood on ML research
- Projects I have worked at Fraunhofer: Autonomous driving, RL for business processes like employee scheduling, quantum computing and RL for quantum circuit compilation/transpilation/optimization
- Released an open-source RL training environment for autonomous driving named Driver Dojo (found on Github) with an accompanying paper. Learned a lot about motion planning and AI safety there
- Master's Thesis about domain adaptation for drone detection on thermal infrared images, leveraging image-to-image translation GANs CycleGAN and UNIT, as well as feature space regularization techniques
- Implemented many SOTA algorithms by myself, ranging from different GANs, to vanilla RL methods like DQN and PPO, but also much more delicate methods like AlphaZero and muZero (the former can also be found on my GitHub)
- In- Provide exactly two different responses that are separated with 6 asterisk symbols: ******.
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