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AI Applied Science- MSc/PhD Student Position – Research Lab

Overview
Skills
  • Python Python
  • Deep learning Deep learning
  • ML ML
  • PyTorch PyTorch
  • TensorFlow TensorFlow
  • Computer Vision
  • Speech and Audio analysis
687086BR

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.

Your Role and Responsibilities

Student Researcher – in the challenging area of multimodal foundation models, working on tasks in the intersection of vision, audio and language modalities. This position will tackle real-world tasks in rich document understanding and speech understanding and generation. The focus of the work will be on the multidisciplinary, multimodal foundation models including training, adapting, and fine-tuning the models for a wide variety of real-world tasks.

If you're a student interested in the fields of machine learning, deep learning, and intersection of multiple disciplines of computer vision, speech and audio analysis, and natural language processing, and you're looking for a place where you will do research with academic and industrial impact, then this position is for you!

Our team develops technologies, models, algorithms, and software that make an impact on IBM products and on the world; we publish papers and issue patents based on the work we do.

Roles And Responsibilities

The responsibilities involve solving real-world problems using cutting edge deep learning/machine learning methods, with the aim to advance the state of the art in the domain of document understanding, speech analysis and generation.

Document understanding is the ability to read documents, understand their structure and content, extract and act upon it. This is a crucial technology as business documents are key to the day-to-day operation of organizations.

Document understanding remains a research challenge that requires a multi-disciplinary perspective, spanning textual analysis, visual comprehension, layout understanding, knowledge representation, data mining and more.

Speech and Audio technologies provide the ability to understand as well as generate audio and speech. In particular, speech recognition and synthesis are key components of natural spoken interaction, which is key to for customer care by organizations. This also requires a multi-disciplinary perspective, spanning conversational and generative AI and modeling for speech, language, and audio.

The areas we are looking at include also multimodal and foundation models, image and audio understanding, data synthesis, expressive speech synthesis and tokenization.

To achieve these goals, you will collaborate with fellow team members and have access to nearly limitless compute power (GPU). The topics include, novel self-supervised learning techniques, realistic data synthesis, multimodal research, and more.

During your time at IBM you will have the opportunity to publish your work in top AI conferences and development of a prototype demonstrating new AI functionality.

Succeeding in these tasks is expected to make an important impact on the research community in these exciting fields and lead to strong publications in a leading AI venue (e.g. CVPR / ICLR / ICCV / ICASSP / Interspeech).

Location: (both are possible)

Haifa Research Lab (in the Haifa University Campus)

IBM Site in Hashahar Tower , Givataim (Near Tel Aviv Arlozorov train station)

Required Technical and Professional Expertise


  • M.Sc. or Ph.D. student with knowledge in Machine Learning, Computer Vision or Speech and Audio analysis, Deep Learning.
  • Strong background using modern (DL) methods, deep knowledge of the recent literature, prior ML/DL publications is an advantage.
  • Strong python coding skills. Experience with PyTorch or TensorFlow is an advantage
  • Team player with great social skills, willingness to collaborate
  • Strong background in Deep Learning methods. Knowledge of the recent literature and being able to discuss architectural concepts – advantage.


Please add your grade sheet to your application.

Preferred Technical And Professional Expertise

NA

About Business Unit

With more than 3,000 researchers in 12 labs located across six continents, IBM Research brings together hundreds of researchers who possess unparalleled industry expertise to address some of the world's most challenging problems. Join us as we do pioneering work in areas such as cognitive computing, augmented intelligence, quantum computing, and blockchain, to name a few.

Your Life @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location Statement

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Being You @ IBM

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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