Algorithm research – Student position

We are looking for an MSC/PhD student with analytical capabilities to join a strong and experienced team of Algorithm developers.

What’s in it for you?

Working on highly innovative technology in the semiconductor industry.

It involves deep mathematical background, signal processing and estimation, model analysis, and multidisciplinary knowledge of physics and algorithms.

Our Group:

Data Products Group

What you'll be doing:

Algo Research and implementation in the fields of Computer vision, Deep Learning, and Machine learning

Collaborate with cross-functional teams: physics, software, applications, and build new products that impact the lives of billions.

What you should have?

M.Sc. / Ph.D student in Electrical Engineering / Physics / Computer Science / Mathematics, or equivalent

Familiar with statistics approaches, Machine Leaning (classical and deep learning) algorithms (Advantage)

Available for 50% position

Programming skills in Python - Must

Who we are?

Applied Materials Israel is home to the Process Diagnostics and Control business unit (PDC). Based in Rehovot, we develop, manufacture and market cutting-edge machine learning and computer vision-based metrology and inspection products that are essential elements in wafer fabrication. By playing a significant role in enabling the production of the next generation of microchips, our expertise enables our customers to transform possibilities into reality.

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Time Type:

Part time

Employee Type:

Intern / Student

Travel:

No

Relocation Eligible:

No

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.