job update

Author: whoenig

_data/jobs.yml

@@ -1,34 +1,34 @@
-phd:
-  - name: "PhD Student for Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments"
-    hours: TV-L 13, 100 %
-    deadline: March 13, 2026
-    reference:  	IV-72/26
-    announcement: https://www.jobs.tu-berlin.de/en/job-postings/201606
-    note: |
-      Research for the DFG project "Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments", i.e. in the field of multi-robot systems with a particular focus on combined decision making and controls for highly agile systems such as multirotors. The algorithm design will use and improve tools from informed search, imitation learning, and trajectory optimization.
-
-      Requirements:
-          • Successfully completed university degree (Master, Diplom or equivalent) in robotics, computer science, electrical engineering, mechanical engineering, or a related discipline with outstanding performance
-          • Excellent previous work (e.g. in the form of final projects or publications) in the field of robotics, machine learning optimization or AI planning
-          • Outstanding analytical skills (such as linear algebra, calculus, AI theory)
-          • Strong programming skills, C++, Python, or Rust
-          • Good knowledge of German and/or English required
-
-      Desirable:
-          • Knowledge of machine learning, trajectory optimization, informed search, or planning
-          • Experience with multi-agent or multi-robot systems
-          • Experience with uncrewed aerial vehicles (e.g., Crazyflie, PX4, Arducopter) or other robotic systems
-          • Working knowledge of Linux
-          • Experience with the Robot Operating System (ROS)
-          • Experience with embedded systems (e.g., firmware development in C)
-
-    apply: |
-          • Cover letter with your interest and experience related to the position%0D%0A
-          • Curriculum vitae%0D%0A
-          • Transcripts (BS and MS)%0D%0A
-          • Writing sample (e.g., BS thesis, MS thesis, or other authored manuscripts)%0D%0A
-          • Programming sample (e.g., link to github)%0D%0A
-          • Names and email addresses of up to two qualified persons who are willing to provide a reference on request
+phd: []
+  # - name: "PhD Student for Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments"
+  #   hours: TV-L 13, 100 %
+  #   deadline: March 13, 2026
+  #   reference:  	IV-72/26
+  #   announcement: https://www.jobs.tu-berlin.de/en/job-postings/201606
+  #   note: |
+  #     Research for the DFG project "Motion Coordination for Heterogeneous Aerial Swarms in Congested Environments", i.e. in the field of multi-robot systems with a particular focus on combined decision making and controls for highly agile systems such as multirotors. The algorithm design will use and improve tools from informed search, imitation learning, and trajectory optimization.
+
+  #     Requirements:
+  #         • Successfully completed university degree (Master, Diplom or equivalent) in robotics, computer science, electrical engineering, mechanical engineering, or a related discipline with outstanding performance
+  #         • Excellent previous work (e.g. in the form of final projects or publications) in the field of robotics, machine learning optimization or AI planning
+  #         • Outstanding analytical skills (such as linear algebra, calculus, AI theory)
+  #         • Strong programming skills, C++, Python, or Rust
+  #         • Good knowledge of German and/or English required
+
+  #     Desirable:
+  #         • Knowledge of machine learning, trajectory optimization, informed search, or planning
+  #         • Experience with multi-agent or multi-robot systems
+  #         • Experience with uncrewed aerial vehicles (e.g., Crazyflie, PX4, Arducopter) or other robotic systems
+  #         • Working knowledge of Linux
+  #         • Experience with the Robot Operating System (ROS)
+  #         • Experience with embedded systems (e.g., firmware development in C)
+
+  #   apply: |
+  #         • Cover letter with your interest and experience related to the position%0D%0A
+  #         • Curriculum vitae%0D%0A
+  #         • Transcripts (BS and MS)%0D%0A
+  #         • Writing sample (e.g., BS thesis, MS thesis, or other authored manuscripts)%0D%0A
+  #         • Programming sample (e.g., link to github)%0D%0A
+  #         • Names and email addresses of up to two qualified persons who are willing to provide a reference on request
 
 shk: []
   # - name: "Student Assistant (BS/MS)"