דרושים Research Scientist- Flow & Thermal Modeling ב-Kla ב-United States, Ann Arbor

Below is what you will be doing to drive improvements to our parts forecasting processes:

• Become a subject matter expert on our customer demand data environment:

• Understand the complexities and context around customer spare parts demand, situational factors such as customer contract entitlements, demand priority, product type, etc.

• Understand the associations of various parts and the respective products they belong to, which facilitates a mapping of where every unit in operation

• Identify problematic data records and anomalies that need to be resolved with data systems teams

• Build customer demand rate models to identify any variability across the fleet

• Identify any statically meaningful demand rate variation across customers, product types, customer entitlements, etc (and any combination thereof)

• Build bottoms up part forecasts across the fleet as a function of these customer demand rate models

• Work with demand frequency and volatility segmentation techniques to establish risk profiles for parts with unpredictable pattern

• Collaborate with other data scientists to input all the above data elements into various machine learning models designed to predict and optimize our customer experience

Preferred Qualifications:

• Manufacturing, Supply Chain, or related industry experience

Minimum Qualifications

• Bachelor’s degree with +5 years’ work experience, OR Master’s degree with +3 years’ work experience

• Educational background in Data Science, Data Analytics, IT or related field

• Strong data wrangling skills to extract and craft complex data into a usable format

• Strong skills with SQL, Python and/or R

• Experience with statistical / regression / ML modeling

• Ability to quickly learn new/differentlanguages/technologies/etc

• Communicate technical information to management and non-technical business partners

• Ability to collaborate closely with team members and cross functional domain experts to share knowledge and interconnect solutions

or at +1-408-352-2808

Job Scope and Complexity:

• Initially understand reliability models, then gradually own and run them to generate engineering insights

• Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions

• Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely

• Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results

• Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain

• Deliver written periodic reports to keep the wider team informed about status and progress

• Present ideas and results in concise decks and summary documents

• Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward

• Eager to learn and adept at picking up new technical concepts and software

• Be self-driven with a drive for problem-solving

Preferred Qualifications:

• Familiarity with any commercial reliability software (e.g., ReliaSoft)

• Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus.

• Experience with failure mode analysis

• Familiarity with SQL and PBI

• Demonstrated experience using statistical and visualization packages for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus.

• Master’s degree or doctorate in related discipline is preferred

• Experience in the framework of a Product Life Cycle and SEMI E10 definitions is a plus

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

• Degree in mechanical engineering, electrical engineering, computer science engineering, statistics, or related engineering discipline

• Demonstrated experience of advancing solutions to technical problems in a cross-functional and multidisciplinary environment

• Evidence of learning new software and adaptability to continuously learn new technical topics

• Evidence of applying statistics in solving real world industrial problems. A strong understanding of statistical distributions and their applications in real world (e.g., Weibull, exponential, etc.)

• A strong grasp of basic probability concepts. An understanding of Bayes’ probability framework is considered a plus.

• Evidence of proficiency in coding to solve applied industrial problems

• Strong interpersonal and communication skills

or at +1-408-352-2808

Job Scope and Complexity:

• Initially understand reliability models, then gradually own and run them to generate insights
• Identify gaps between models and real-world scenarios, and develop innovative ideas to bridge these gaps with clever assumptions
• Write code as necessary to develop a fundamental understanding of reliability and statistical problems, and present insights and visualizations concisely
• Collaborate with cross-functional groups to obtain extensive data from the field and validate model results against field results
• Continuously drive innovation and features in the reliability, availability, and maintainability modeling domain
• Deliver written periodic reports to keep the wider team informed about status and progress
• Present ideas and results in concise decks and summary documents
• Lead cross-functional technical groups, convey key ideas, resolve differing viewpoints with a collaborative spirit, and move discussions forward
• Eager to learn and adept at picking up new technical concepts and software
• Be self-driven with a drive for problem-solving

Preferred Qualifications:

• Demonstrated experience working with any commercial reliability software (e.g., ReliaSoft)
• Demonstrated experience with part level and system level reliability analysis. Experience with reliability analysis of complex equipment systems a plus.
• Experience with failure mode analysis
• Familiarity with SQL and PBI
• Demonstrated experience using statistical and visualization package(s) for problem solving (e.g., JMP, Matlab, R, Python, PBI, Tableau, etc.). Familiarity with SQL is a plus.
• Master’s degree in related discipline is preferred
• Familiarity in the framework of a Product Life Cycle and SEMI E10 definitions is a plus

Minimum Qualifications

• Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years
• Demonstrated experience of advancing solutions to technical problems in a cross-functional environment
• Evidence of learning new software and adaptability to continuously learn new technical topics
• Evidence of applying statistics in solving real world industrial problems. A strong understanding of statistical distributions and their applications in the real world (e.g., Weibull, exponential, etc.)
• A strong grasp of basic probability concepts. An understanding of Bayes’ probability framework is considered a plus.
• Evidence of proficiency in coding in solving real world industrial problems
• Strong interpersonal and communication skills

or at +1-408-352-2808

Research and test new optical technologies for wafer inspection implementations.

Conceive new concepts based on solid physics understanding of light and material interaction and imaging theory.

Validate concepts through modeling, simulations and experiments.

Design and build optical imaging test benches for technology feasibility study.

Design and conduct experiments, collect and analyze data, draw clear conclusions from multivariable data sets.

Qualifications:

We seek candidates with a PhD in Physics, Material Science, Electrical Engineering or related fields.

Experienced user of Matlab, familiar with Zemax.

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years.PhD in Physics, Material Science, Electrical Engineering or related fields.

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Responsibilities in this role include:

• Using CFD and Thermal modeling to guide next-gen inspection and metrology tool development
• Using simulations based on multiple physical models and building correlations with experimental data
• Preparation of detailed modeling plans, schedules and summary reports, communication with collaborators and team members to maintain alignment
• Coordination and performing root cause analysis to solve problems

• Degree's or equivalent experience in Applied Physics/Engineering
• Hands-on experience using modeling to solve sophisticated engineering problems.
• Responsible working demeanor and should be a great teammate.
• Ability to work with multi-functional internal teams, both oral and written, division management, as well as external customers.
• Excellent written and verbal communication, and ability to break down problems for planning and execution.

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years.

or at +1-408-352-2808