Phd Candidate in Vision-based Simultaneous
Il y a 6 mois
**About the SnT**
**Dr. Jose Luis SANCHEZ-LOPEZ**, Research Scientist (Permanent) and co-head of the ARG. His main research interest is to provide robots (both individually and in teams) with a deeper understanding of the situation and with intelligent and autonomous planning and task execution. He has published more than 80 papers in international peer-reviewed conferences and journals that generated an impact of more than 2050 citations (according to Google Scholar). Among his multiple scientific roles, he is an associate editor of four journals, including IEEE Robotics and Automation Letters.
Learn more about:
**Your Role**
The position holder will work under the umbrella of a partnership **project Theia** with the Luxembourg-based company **GAMMA AR**, developing a solution for real-time vision-based Simultaneous Localization and Mapping (SLAM) of a hand-held tablet on real construction sites (i.e. as-built), with drift-free alignment with existing Building Information Management (BIM) data (i.e. as-planned). This solution will extend our novel Situational Graphs (S-Graphs), concretely our Informed S-Graphs and our Vision-based S-Graphs. Concretely, the **main scientific challenges** are the (1) vision-based global localization of the hand-held device within BIM (i.e. global alignment between the real construction site and the BIM) **when the main **structural elements (e.g. walls) are built and there are no major deviations from the BIM. (2) vision-based individual alignment between the main elements of the construction site and BIM, when there are no major deviations. And (3) vision-based global and individual alignment between the construction site and its main elements and BIM in the presence of deviations. The solution will be validated experimentally in real datasets and real construction sites (together with their BIM). On top of this, the solution will be integrated into our ready-to-use robotic platforms to demonstrate its potential use in autonomous robot systems in real-world use cases.
The position holder will be required to perform the following **tasks**:
- Conducting research on perception and situation understanding, making contributions to the state-of-the-art in the fields of simultaneous localization and mapping (SLAM), computer vision, machine learning, robotics, and/or related
- Proposing and implementing working novel solutions validated in real datasets and real construction sites and our robotic platforms
- Contributing to the development of the solution and its technological demonstration envisaged on the partnership project Theia with Gamma AR
- Contributing to the success and impact of the partnership project Theia with Gamma AR
- Contributing to the research line of situational awareness for robots and autonomous systems of the ARG
- Disseminating results through scientific publications in top peer-reviewed international journals, such as IEEE RA-L, and Elsevier RAS, and conferences, such as ICRA, and IROS
**Your Profile** Qualification**:
- A master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Artificial Intelligence, Mechanical Engineering, or a related field
**Experience and hard skills**:
- Background in (at least one) simultaneous localization and mapping (SLAM), computer vision, machine learning, robotics, and/or related
- Strong mathematical background
- Strong programming skills in (at least one) Python/C++. Experience in Android programming is a plus
- Familiarity with computer vision frameworks like OpenCV, and/or deep learning frameworks such as PyTorch and TensorFlow, and/or optimization-based frameworks such as GTSAM, G2O, or similar, and/or robotics frameworks like ROS
**Soft and transferable skills**:
- Commitment, high motivation, and high ambition
- Team working
- Critical mind
**Language skills**:
- Fluent written and verbal communication skills in English are required
**Here’s what awaits you at SnT**
- **A stimulating learning environment.** Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
- **Exciting infrastructures and unique labs.** At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
- **The right place for IMPACT. **SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 55 industry partners
- **Multiple funding sources for your ideas**. The University supports researchers to acquire funding from national, European and private sources
- **Competitive salary package**. The University offers a 12 month-salary package, over six weeks of paid time off, meal vouchers and health insurance
- **Be part of a multicultural family**. At SnT we have more than 60 nationalities. Throughout the year, we organise team-buil
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