ESA Advanced Concepts Team’s Post

📣 A new internship opportunity with the Advanced Concepts Team! 📣 Topic: Self-configuring cube ensembles Deadline: 30 November 2023 23:59 CET/CEST Link: https://lnkd.in/ep2YYRuB ==[ Summary ]== Recently, concepts for self-assembling and self-configuring structures in space have been proposed that have the potential to strongly reduce the deployment time and costs for space missions as well as to re-envision the morphology and functionality of space structures, e.g., by enabling in-orbit assembly and reconfiguration of structures from smaller, easily launchable components.   An example of such a technology - currently developed at MIT - is ElectroVoxels: ensembles of connected cubes that can reconfigure into different shapes by performing tilting maneuvers along their edges. The objective of this internship is to develop a control algorithm based on modern reinforcement learning techniques that enables the autonomous reconfiguration of such ensembles from any initial configuration to any target configuration. Furthermore, we will investigate multi-agent reinforcement learning approaches, setting the foundation for fully decentralized control of cube ensembles, i.e., where each cube is its own reinforcement learning agent that acts autonomously. ==[ Objectives ]==   The objectives of this internship are: ➡️ Apply modern reinforcement learning techniques for controlling an ensemble of ElectroVoxels (in simulation). ➡️ Investigate these algorithms on different ElectroVoxel deployment scenarios and identify the most promising approach. ➡️ Review and perform initial tests of multi-agent reinforcement learning methods (and related approaches) to control the ensemble. ==[ More information ]== For more information, please check out the full vacancy notice here: https://lnkd.in/ep2YYRuB (Topic 1)

📣 A new internship opportunity with the Advanced Concepts Team! 📣 Topic: Treewidth-aware Quantum Annealing Deadline: 30 November 2023 23:59 CET/CEST Link: https://lnkd.in/eWBNPRkr ==[ Summary ]== The objective of this internship is a hybrid approach for solving QUBOs using tools from structural graph theory. A graph decomposition partitions the QUBO into manageable parts, which can be solved with a conventional solver, and into computationally challenging parts, which get sent to the quantum annealer. The project explores the performance of conventional tools like maximum satisfiability or integer linear programming solvers on the structurally simple parts. Furthermore, it evaluates the obtained speedup if the complex parts of the problem are solved using a quantum annealer. ==[ Objectives ]== The goals of this internship are: ➡️ Developing a script that decomposes a given QUBO using available tree decomposition libraries. ➡️ Collecting benchmarks from previous academic studies and use the decomposition to identify structural easy parts. ➡️ Evaluating the performance of maximum satisfiability or integer linear programming solvers on these easy parts. ➡️ Developing the logic to solve the remaining parts using available quantum annealers using the vendor's API and combining the obtained results with the partial solutions from the previous step. ==[ More information ]== For more information, please check out the full vacancy notice here: https://lnkd.in/eWBNPRkr (Topic 1)

📣 A new internship opportunity with the Advanced Concepts Team! 📣 Topic: Tackling multiple rendezvous interplanetary missions as complex combinatorial problems Deadline: 30 November 2023 23:59 CET/CEST Link: https://lnkd.in/ep2YYRuB ==[ Summary ]== Most complex interplanetary trajectory design problems that have been proposed over the past decades by the international community, for example in the context of the Global Trajectory Optimisation Competitions, have been successfully tackled by mapping an ideal representation of the original problem into problems of known complexity such as Minimum Spanning Trees, the Travelling Salesman Problem or, most recently, Time Dependent Multiple Open Vehicle Routing Problems. Techniques based on Ant Colony Optimisation, linear integer programming and more have then been successfully applied to solve such problems. A deeper understanding of the general applicability of these techniques is, though, lacking as most examples are mostly confined to specific problem instances and lack widely spread benchmarks / implementations.   ==[ Objectives ]==   The objectives of this internships are: ➡️ Reviewing the past success stories where the mapping between an interplanetary trajectory problem and a standard/known form of an NP-complete problem has been carried out. ➡️ Studying the trajectory optimisation problems related to multiple asteroid rendezvous, as, for example, defined in the 12th and 7th edition of GTOC. ➡️ Developing and implementing, on selected cases, a solution strategy based on transcribing the problem instance into a linear programming problem and test its strengths/weaknesses. ==[ More information ]== For more information, please check out the full vacancy notice here: https://lnkd.in/ep2YYRuB (Topic 3)

The deadline for applying to our wonderful internship opportunities is approaching! You wouldn't want to miss the chance to be part of ESA's think tank, would you? Check out this interesting internship project on interplanetary rendezvous and combinatorial problems, and apply today! -------------------------------------- 📣 A new internship opportunity with the Advanced Concepts Team! 📣 Topic: Tackling multiple rendezvous interplanetary missions as complex combinatorial problems Deadline: 30 November 2023 23:59 CET/CEST Link: https://lnkd.in/ep2YYRuB ==[ Summary ]== Most complex interplanetary trajectory design problems that have been proposed over the past decades by the international community, for example in the context of the Global Trajectory Optimisation Competitions, have been successfully tackled by mapping an ideal representation of the original problem into problems of known complexity such as Minimum Spanning Trees, the Travelling Salesman Problem or, most recently, Time Dependent Multiple Open Vehicle Routing Problems. Techniques based on Ant Colony Optimisation, linear integer programming and more have then been successfully applied to solve such problems. A deeper understanding of the general applicability of these techniques is, though, lacking as most examples are mostly confined to specific problem instances and lack widely spread benchmarks / implementations.   ==[ Objectives ]==   The objectives of this internships are: ➡️ Reviewing the past success stories where the mapping between an interplanetary trajectory problem and a standard/known form of an NP-complete problem has been carried out. ➡️ Studying the trajectory optimisation problems related to multiple asteroid rendezvous, as, for example, defined in the 12th and 7th edition of GTOC. ➡️ Developing and implementing, on selected cases, a solution strategy based on transcribing the problem instance into a linear programming problem and test its strengths/weaknesses. ==[ More information ]== For more information, please check out the full vacancy notice here: https://lnkd.in/ep2YYRuB (Topic 3)

Summer Internship Programme Indian Institute of Space Science and Technology #IIST How to Apply Before applying, identify the #topics of your #interest, and for which you are eligible. Note the topic code and the title. Before proceeding to the online application form, please download this PDF file showing the information required to be entered and read it. Be ready with all the required information before opening the application form. The application form has to be filled and submitted in one session. click here https://lnkd.in/d4pY2DhT to fill the application form. The last date for submitting internship applications is 15 April, 2024 The names of short listed candidates will be published in this web page on tentatively 22nd April 2024,and the candidates will be informed by email. topics: https://lnkd.in/dNyMUHTV source link: https://lnkd.in/dSmG7vBp #share #cfbr #internship #summerinternship #iist #space #science #technology

This summer, thanks to the University of Wyoming and the Human Move Program Amy Ulinski Banic , I had the opportunity to dive deep into ROS1 under the guidance of Chao Jiang. This project demonstrated that AI’s potential can be maximized through creative applications. Project Summary: I programmed robotic operating systems to imitate my right arm/hand. Using my computer vision skills, I enabled the Panda Franka Emika robot to mimic my motions as humanly as possible with 2D images from an RGB camera. After achieving great results, I tackled the more complex task of using a single RGB camera and CNN to extract depth from live video. This data was then translated into ROS for the robot. This task was daunting due to versioning restrictions and outdated libraries. Although I wasn’t fully successful in the 3D transition to the robot perfectly i was able to use CNN to create my Depth Maps, I now have a solid foundation for future improvements. Reflection: Technology should be as simple to use as holding a conversation. This internship has equipped me with valuable skills and critical thinking abilities that will contribute to my future success.

Hey connections! 📢Excited to announce my internship program in Artificial Intelligence Medical and Engineering Reaserchers Society. ⭐️Here it is my new project on object detection in the video we can identify persons and objects which are carried by them. #AIMERS #YOLO #OBJECTDETECTION

Excited to share my project during my internship at AIMER Society - Artificial Intelligence Medical and Engineering Researchers Society. Here is the dashboard created by me under the guidance of #saisatish Sir. #AIMERSociety #PowerBI #DataVisualization

Task-1 Titanic Classification 🚢: In this project, I used the K-Nearest Neighbors (KNN) algorithm to predict passenger survival on the Titanic. Key factors such as socio-economic status, age, and gender were analyzed to determine their impact on survival rates. #CodeAlpha #DataScience #Internship

📣 A new internship opportunity with the Advanced Concepts Team! 📣 Topic: Artificial Intelligence Velocimetry for space applications Deadline: 30 November 2023 23:59 CET/CEST Link: https://lnkd.in/ep2YYRuB ==[ Summary ]== Artificial Intelligence Velocimetry is a technique proposed in 2017 wherein a Neural Network is used to reconstruct some flow field given sparse and noisy measurement from an (initially 2D) observational campaign. It was later adapted to use Physics-informed Neural Networks and proposed to improve upon Alzheimer’s and small vessel disease research. However, the technique seems to be applicable in general to inverse problems where sparse observations are available over a continuous field regulated by a set of partial differential equations. Cases such as satellite fuel sloshing, space propulsion, satellite thermal control, etc. all seem to offer good candidate to apply a similar technique for space research.   ==[ Objectives ]== The objective of this internship are: ➡️ Proposing and detailing use cases for AIV in the space context. ➡️ Proposing a specific test case where to apply AIV for one of the identified use cases. ➡️ Providing and testing a first downscaled implementation of the technique over synthetically produced observations. ==[ More information ]== For more information, please check out the full vacancy notice here: https://lnkd.in/ep2YYRuB (Topic 2)