Ii-2406 Internship Distributional Shift in The

il y a 3 semaines

EschsurAlzette, Luxembourg Luxembourg Institute of Science and Technology (LIST) Temps plein

Description
**Compulsory traineeship - 6 months | Fulltime/40h | From 15.02.2024 on | 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 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 IT for Innovation Services department**:
The IT for Innovative Services (ITIS) department, with its 100 researchers and engineers, focuses on the digital transformation of operations in organizations with traditional environments and digital ecosystems, with the aim of improving their performance and innovation capacity. The common thread throughout ITIS is to develop the most efficient use of big data to ensure the most appropriate decision-making processes.

The department relies on the Data Analytics Platform: a hybrid infrastructure covering the entire range of data analytics activities. The platform is based on three pillars: a high-performance computing (HPC) infrastructure, a cognitive analytics pillar and an interactive visualization wall (Viswall).

**How will you contribute?**:
Time series analysis is vital for making informed decisions and improving the efficiency of systems, with significant financial implications. Applications range from logistics to healthcare, as well as understanding climate change. The context of this internship focuses more specifically on spatially distributed time series, such as data from weather or smart building sensors.

Environmental sensor data often exhibits heavy spatial correlation. This means that the effective sample size will be much smaller than apparent. Therefore, using this data with sequence-to-sequence deep learning forecasting models is prone to distributional shift. A first step to address this issue is the development of tools to effectively characterize such distributional shift issues.

Internship Contributions:

- Characterize challenges related to distributional shift discrepancy metrics, non-stationarity of time series, and small effective sample sizes.
- Survey and adapt techniques for time series visualization to highlight discrepancies in input and target time series.
- Build proof-of-concept software to illustrate proposed adaptations, leveraging the Python gluonts library.

Key Responsibilities:

- Conduct a comprehensive survey of distributional shift discrepancy metrics and time series visualization primitives.
- Identify and adapt suitable techniques for characterizing distributional shifts in time series data.
- Develop and integrate software solutions into an existing codebase for environmental time series forecasting.
- Collaborate with the research team to refine methods and contribute to ongoing projects.

**Education**
- Master or equivalent in Data Science, Statistics, Computer Science, or a related field.***

**Experience and skills**
- Foundation in statistical modelling, machine learning, and data analysis
- Proficiency in Python
- Proficiency with Javascript/TypeScript is a plus
- Familiarity with deep learning frameworks, preferably
- MXNet and/or PyTorch
- Ideally, prior experience with time series analysis
- Ability to work independently and in a team environment.***

**Language skills**
- Good level both written and spoken English C1 (ideally C2)

**Your LIST benefits**:

- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and 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 app

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