Presenting Robustness Measures for Prediction and Detection Machine Learning Models Internship (f/m/d)

Key Skills

Java Programming, Risk Analytics, Python Programming, C++, C Programming, SQL, PyTorch, CNNs

Job Description

Intel Labs is the company's world-class, industry-leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high-risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units. The position is in the Dependability Research Lab of Intel Labs.

We are looking for a candidate for a temporary position who has not yet graduated and is working as part of an internship towards a relevant Master's from a relevant academic institute. This position is part of a research team in Munich, Germany at the heart of the industrial control and automotive industry and will support a new area of research for the next generation of Internet of Things for automation in industrial control, smart city, robotics and automated driving.

Tasks:

• Work as part of the team on robustness and uncertainty estimation analyses of perception and prediction modules present in automated driving, robotics, and smart city applications.
• Select one or more representative safety-critical scenarios in these autonomous systems where robust and trustworthy measures of AI models used for these modules are crucial.
• Create a demo integrating perception and prediction modules for these safety- critical scenarios using open-source simulators.
• Evaluate the impact of uncertainties on this safety-critical scenario using uncertainty estimation and calibration techniques.
• Potential impact of platform faults on this safety-critical scenario is also preferred to be analyzed.

Qualifications

The ideal candidate meets the following criteria:

• Pursuing studies in computer science, computer engineering, electrical engineering, mathematics or other related fields with a focus on Artificial Intelligence
• Programming Skills in Python, C++, C
• Good background in AI methods especially CNN, LSTM, and their performance metrics
• AI frameworks: preferably PyTorch
• Knowledge in dependability preferred
• Knowledge in robustness and uncertainty topics in AI preferred
• Excellent English is a must, German knowledge advantageous

Inside this Business Group

Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.