Cifre PhD on Knowledge Graphs and LLM

Come create the technology that helps the world act together

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At Nokia, we create technology that helps the world act together. We put the world’s people, machines and devices in sync to create a more sustainable, productive and accessible future.

Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

For the past 100 years, Bell Labs has been harnessing the extraordinary imaginations of our researchers to fuel visionary breakthroughs. Our pioneering progress has expanded possibilities to solve humanity’s most pressing challenges. As Nokia's industrial research lab, we keep innovating with purpose, pursuing responsible, sustainable technologies that will have a demonstrative impact on society.

The AI Research Lab at Bell Labs invites applications for PhD positions in machine learning, mathematics, networking, modeling, and optimization. The Lab has a long tradition of excellence in research and currently consists of 80 staff members with expertise in algorithmic and computing sciences, network measurement and optimization, information theory, and machine learning. The current PhD position is open in the Machine Learning and Systems Group in the AI Research lab and will be carried out in collaboration with the Institut Polytechnique de Paris in the scope of a Cifre project.

 

The successful applicants will work with our current team to conduct high-quality fundamental research and apply the findings to problems that arise in a wide range of Nokia applications and use cases.  

In the scope of this offer, we will address the research challenge of leveraging knowledge representations for hallucination detection and prevention in Large Language Models (LLM). Today, LLMs are revolutionizing natural language processing and artificial intelligence with their impressive abilities of generalization. However, their "black box" nature limits their access to and understanding of factual knowledge and often leads to hallucinations by generating factually incorrect statements. Knowledge Graphs (KGs), on the other hand, offer a structured representation of factual information, providing a valuable resource for enhancing LLMs. By integrating KGs, LLMs can gain access to external knowledge, improving their reasoning capabilities, avoiding hallucinations and making their outputs more interpretable.

Keywords :  

Hallucinations in Large Language Models 
Knowledge Graphs 
Representation Learning  
Causality and Interpretability 

 

• Master's degree and a strong proven background in at least one of the domains of machine learning, applied mathematics, data or computer science, computational methods, or a related field.
• Innovative and autonomous, you can work in an international environment (contacts with worldwide Nokia teams, academic research partners and customers) with real abilities of communication and team working. 
• You have also a good practice of English and preferably know the basics of French. 

 

Nokia is committed to inclusion and is an equal opportunity employer  

Nokia has received the following recognitions for its commitment to inclusion & equality:

One of the World’s Most Ethical Companies by Ethisphere 
Gender-Equality Index by Bloomberg 
Workplace Pride Global Benchmark 
LGBT+ equality & best place to work by HRC Foundation

At Nokia, we act inclusively and respect the uniqueness of people.

Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. 
We are committed to a culture of inclusion built upon our core value of respect.

 Join us and be part of a company where you will feel included and empowered to succeed. 
 

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer
 
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

• One of the World’s Most Ethical Companies by Ethisphere
• Gender-Equality Index by Bloomberg
• Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.