PhD Researcher Applied Science

Entrust Corporation; Paris; Hybride; EUR 42 000 - 54 000; Plein temps

Avantages offerts par ce poste

Flexible work options

Career growth

Résumé du poste

Entrust Corporation is seeking a PhD CIFRE Researcher for the Onfido Applied Science team in Paris/London. You will contribute to cutting-edge Vision-Language models for fraud detection and document extraction using large image/video datasets on multi-GPU clusters.

You will be mentored by senior scientists and publish findings at international conferences, while collaborating across a dynamic Applied Sciences group in Paris and London.

Qualifications

• Currently enrolled in a Computer Science Master’s or PhD program or a related field.
• Proficiency with modern deep learning frameworks (PyTorch or TensorFlow).
• Ability to write research code in Python.

Responsabilités

• Contribute to research on Vision Language Models for fraud detection, face matching and document extraction.
• Work on large-scale image and video datasets and train models on state-of-the-art GPUs.
• Publish at international conferences advancing biometrics and document understanding.

Connaissances

PyTorch

TensorFlow

Python

Computer vision

Research

Formation

Master's or PhD in Computer Science or related field

Outils

Git

AWS

Description du poste

## PhD Researcher Applied ScienceApply: France - Paris (Onfido): Full time: Posted Yesterday: End Date: October 12, 2026 (5 days left to apply): R004426**Join us at Entrust**At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.**Get to Know Us**Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future.**Position Overview:**You will join the Onfido Applied Science team as a PhD CIFRE Researcher. The team consists of 20+ Applied Scientists located in London and Paris. We develop novel and state-of-the-art machine learning and computer vision models for the Onfido domain of expertise, in particular fraud detection and data extraction on government IDs and biometrics data. You will work together with a team of scientist who will coach and train you during your PhD.We use state-of-the-art technology (deep learning, Vision and Language), own a large proprietary dataset of images and videos and use a multi-GPU cluster. We use standard frameworks (python, pytorch, tensorflow, dask, AWS). We impact production directly but also the machine learning community. We publish our work [1] [2] [3] and attend international conferences.[1] FADE: Few-shot/zero-shot Anomaly Detection Engine using Large Vision-Language Model, Yuanwei Li, Lisa Ivanova, Martins Bruveris, accepted at BMVC’2024, arxiv[2] https://github.com/gietema/clusterfun[3] https://github.com/martinsbruveris/tensorflow-image-models**Responsibilities:**· You will contribute to research on Vision Language Models for fraud detection, face matching and document extraction· You will work on unique, large-scale image and video datasets and train models on state-of-the-art GPUs· You will publish at international conferences, pushing the state-of-the-art on biometrics and document understanding· You will be mentored by a senior machine learning scientist to make sure you are successful in your mission· You will be part of a vibrant team of 15+ Applied Scientists based in Paris and London**Basic Qualifications**· Currently enrolled in a Computer Science Master's or PhD degree or a related field· Proficiency with a modern deep learning framework (PyTorch or TensorFlow)· Ability to write research code in Python· Strong communication and collaboration skills· Strong willingness to learn**Preferred Qualifications:**· Practical experience in deep learning, especially for computer vision tasks.· Prototyping ideas from research papers.· Working knowledge of cloud computing (preferably AWS) and tools such as git.**About Entrust**Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. Today more than ever, people demand seamless, secure experiences, whether they’re crossing borders, making a purchase, or accessing corporate networks. With our unmatched breadth of digital security and credential issuance solutions, it’s no wonder the world’s most entrusted organizations trust us.For more information, visit www.entrust.com. Follow us on, LinkedIn, Facebook, Instagram, and YouTube Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer. NO AGENCIES, NO RELOCATION #LI-GR1#ENT123 Updated 1/262024At Entrust, we don’t just offer jobs – we offer career journeys. Here is what you can expect when you join our team:* Career Growth: Whether you’re a budding developer or a seasoned expert, we’re invested in your professional journey. With learning-forward initiatives and exciting challenges, your growth is our priority.* Flexibility: Life is all about balance. Whether you’re remote, hybrid, or on-site, we offer flexible options that fit your lifestyle.* Collaboration: Here, your voice matters. Our teams thrive on sharing ideas, brainstorming solutions, and working together to build a better tomorrow.We believe in securing identities—but it doesn’t stop there. At Entrust, we’re passionate about valuing all identities. Our culture is built on diversity, inclusion, and respect. From unconscious bias training for our leaders to global affinity groups that connect colleagues across the globe, we’re creating a community where everyone is encouraged to be themselves.**Ready to Make an Impact?**If you’re excited by the prospect of innovating, growing your career, and collaborating in a dynamic environment, Entrust is the place for you. Join us in making a difference. Let’s build a more secure world—together.**Apply today!**