Contract type: Fixed term contract
Duration: 24 months
Your work environment
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.
The Luxembourg Institute of Science and Technology (LIST) in partnership with Goodyear is driving significant research and development focused on responding to innovation challenges in tire-related applications and business intelligence. All projects and positions in this partnership are co-supervised by LIST senior researchers and our industrial partner professionals who all have a large experience in supervision and project management.
You will be part of the LIST IT for Innovative Services department
The “IT for Innovative Services” (ITIS) department of LIST is home to 110 IT scientists and engineers performing research and innovation activities in computer and data science topics applied, in particular, to the design, engineering and assessment of novel approaches to information systems and services. These activities are supported by a Data Analytics/AI technological platform including HPC, Visualisation Wall and a Cognitive pillar.
The candidate will join the Data Science and Explainable Analytics Unit whose mission is to imagine, design, implement and assess novel approaches based on data sciences and interactive technologies to support problem-solving and decision-making in an explainable manner with human in the loop. The Unit activities include research projects as well as more applied activities carried out with private and public partners.
Researchers in the Goodyear Data Science department develop innovative tools and methods for simulating, modelling and analysing complex processes throughout the company. This often yields computationally heavy tasks (e.g. hyper-parameter tuning), and effective code optimization and parallelization then becomes crucial.
We are looking for a highly motivated researcher to work on:
Effectively parallelizing legacy (C or Python) code and algorithms does not always come easy. In addition, even in the recourse to frameworks such as Tensorflow and PyTorch, several pitfalls and bottlenecks may prevent maximal gains from GPU hardware usage. Existing profiling tools (e.g. Tensorboard Profiler, Nvidia Nsight) provide insights regarding these bottlenecks, but interpreting their results and translating the latter into program modifications often require advanced programming skills. The goal of the researcher will be to advance the state of the art in advanced profiling and code transformation and contribute to bridging this gap.
Candidates interested in the above position can apply online on our website www.list.lu
The application file should include: