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, located in Munich, Germany.

We are looking for a candidate for a temporary position either as working student, intern, or to work on a master's thesis. Ideally, you are currently pursuing a master's degree on a relevant academic institute and want to strengthen and extend your skillset at the forefront of artificial intelligence (AI) technology. Together with the research team, you will be working on identifying, implementing, evaluating, and adapting state-of-the-art explainable AI techniques that can improve safety assurance in safety-critical autonomous and intelligent systems employing AI/ML.

Tasks

Together with the team, you will:

• study and understand the state-of-the-art explainable AI techniques, their typical usages and limitations

• select one or more representative explainable AI methods to implement and evaluate for its potential in improving safety assurance in the target example application from the domain of automated driving or robotics

• identify areas of potential adaptation and improvement to the selected methods, and evaluate the impact of the implemented adaptation and improvement, including but not limited to improved safety assurance, reduced computational overhead, etc.

• create a prototype/demo to showcase the value of explainable AI in safety-critical autonomous systems

Qualifications

The ideal candidate meets the following criteria:

• Pursuing studies in electrical engineering, computer science, mathematics, physics, or other related fields

• Good background in AI/ML methods, especially DNNs and their evaluation

• Programming skills in Python, C/C++

• Knowledge about safety and related standards in autonomous systems (e.g., automated driving, robotics) advantageous

• Knowledge about AI explainability advantageous

• Excellent English is a must, German knowledge advantageous

Please note that in order to be eligible for this position you need to be enrolled in a university program.

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.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.