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Esch-sur-Alzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps pleinDescription **Temporary contract | 14+22+12 months | Full-time/40h | Belval**: ***: **Are you passionate about research? So are we! Come and join us**: The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment, and IT. By transforming scientific knowledge into...
Im-2313 Data-driven Optimization of Charged
il y a 2 semaines
Description
**Are you passionate about research? So are we Come and join us**:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
**You‘d like to contribute as an intern? Join our Materials Research and Technology department**:
Through its research into advanced materials and processes, the “Materials Research and Technology” (MRT) department, with its 200 researchers and engineers, contributes to the emergence of enabling technologies that underpin the innovation processes of local and international industry. MRT’s activities hinge on four thematic pillars: nanomaterials and nanotechnology, scientific instrumentation and process technology, structural composites, and functional polymers.
The department also includes four high-tech platforms, focusing on composites, prototyping, characterization and testing. These platforms serve both LIST research staff, and other stakeholders in Luxembourg.
**Responsibilities**:
**How will you contribute?**:
The following tasks will be performed during the internship:
- Understanding electron/ion optical simulation/modeling and multi-objective optimization developed by the AINA group
- Set up machine learning surrogate models and implement them into the AINA’s multi-objective optimization
- Benchmarking on ion optical element designs and selected instrument designs of the AINA group
Apart from the experience directly gained from the above tasks, you will have opportunities to work with the multidisciplinary research team of the AINA group and the Process Modelling, Automation and Robotization (PROMAR) group, especially on scientific instrumentation development and process modelling.
Must Have Requirements
**Education**
- You are currently completing a Master in Physics, Informatics, Computing, Computer Science or any related field
**Experience and skills**
- Knowledge in machine learning and/or optimization methods
- Experience in programming languages (e.g., Python)
**Language skills**
- Good level both written and spoken English.
We offer
**Your LIST benefits**:
An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects;
Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;
Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;
Multicultural and international work environment with more than 45 nationalities represented in our workforce;
Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;
Gender-friendly environment with multiple actions to attract, develop and retain women in science;
32 days’ paid annual leave for a full time internship, 11 public holidays per annum, flexible working hours,
An environment encouraging curiosity, innovation and entrepreneurship in all areas.
**Application procedure and conditions**:
- Applications will be reviewed on an ongoing basis until the position is filled;
- The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.
Languages English Education Master
