Visiting Project Scientist Assistant Position 2024-2025 Apply now to Visiting Project Scientist Assistant Position 2024-2025

Job #JPF09936

• Materials Science & Engr / Henry Samueli School Engr & Ap / UCLA

  Position overview

  Salary range: $70,000.00

  Application Window

  Open date: November 12, 2024

  Most recent review date: Tuesday, Nov 12, 2024 at 11:59pm (Pacific Time)

  Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

  Final date: Friday, Nov 22, 2024 at 11:59pm (Pacific Time)

  Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

  Position description

Per Prof. Dunn:

TO WHOM IT MAY CONCERN

I would like to request that Mr. Takuma Kurakami be appointed as a Visiting Assistant Project

Scientist in my laboratory in the Department of Materials Science and Engineering. Mr.

Kurakami is planning to spend one year at UCLA. During this time, he will continue to be paid

by his employer, the Nippon Sheet Glass company, and thus his appointment will be without

salary.

Mr. Kurakami’s research during this time will be on the application of machine learning in sol-gel

synthesis of materials. Based on this experimental work, he will be developing algorithms that

can be widely used in materials science.

Qualifications

Basic qualifications

A minimum of a Master's Degree is required.

Application Requirements

Document requirements

• Curriculum Vitae - Your most recently updated C.V.

  TAKUMA KURAKAMI

  Takuma.Kurakami@nsg.com

  (072) 781-0081

OBJECTIVE EDUCATION

CONFERENCE PRESENTATIONS

EXPERIENCE

To conduct quality research with Dunn Lab in University of California Los Angeles while expanding

my knowledge in a new working environment.

Tokyo Institute of Technology

M.S. in Materials Science and Engineering; 2021

The 104th Chemical Society of Japan Annual Meeting; 2024 in preparation The 63rd Symposium on

Glasses and Photonic Materials, PI12; 2022

The 60th Symposium on Glasses and Photonic Materials, 2A10; 2019

Extrapolation Prediction of Properties of Sol-Gel Anti-Reflection Coating with Various Silicon

Alkoxides as Precursors by Machine Learning 2023

NIPPON SHEET GLASS CO., LTD.

Built machine learning models to predict sol-gel coating properties from precursors and synthesis

conditions, and evaluated their extrapolated prediction accuracy by predicting the properties of

the coatings which contain silicon alkoxides as precursors not included in training data. The data

of coating properties for training and evaluation was obtained by measuring optical property and

various durability of the coatings with 8 types of silicon alkoxides as precursors. The use of

molecular descriptors as explanatory variables allows the model to make extrapolated predictions,

and the evaluation results confirmed good prediction accuracy.

Reducing Development Time and Number of Experiments for Sol-Gel Anti- Reflection Coatings by

Bayesian Optimization 2023

NIPPON SHEET GLASS CO., LTD.

Developed composition and process of sol-gel anti-reflection coatings by Bayesian optimization, a

typical method of materials informatics. Exploration area and target properties, %Tgain, abrasion

resistance, chemical resistance, and water resistance, were defined that are equivalent to past

development for comparison. By exploring with Bayesian optimization, cycles of experimental data

acquisition and machine learning model building, coating samples with properties that are

equivalent to past composition were obtained in a cycle. As a result, the development time was

reduced from 4 month to 1.5 month and the number of experimental samples were reduced from 82328

to 40 compared to past development.

INTERESTING FACT

Development of Temperature-Dependent High Temperature Viscosity Prediction Model of 7-Component

System 2021

NIPPON SHEET GLASS CO., LTD.

Developed a high temperature viscosity model by fitting parameters of MYEGA equation for

7-component oxide melt system.

Black Belt Judo Player (for 13 years). Piano Player (for 12 years).

(Optional)

• Cover Letter - TO WHOM IT MAY CONCERN

  I would like to request that Mr. Takuma Kurakami be appointed as a Visiting Assistant Project

  Scientist in my laboratory in the Department of Materials Science and Engineering. Mr.

  Kurakami is planning to spend one year at UCLA. During this time, he will continue to be paid

  by his employer, the Nippon Sheet Glass company, and thus his appointment will be without

  salary.

  Mr. Kurakami’s research during this time will be on the application of machine learning in sol-gel

  synthesis of materials. Based on this experimental work, he will be developing algorithms that

  can be widely used in materials science.

  (Optional)

• Statement of Research - Extrapolation Prediction of Properties of Sol-Gel Anti-Reflection Coating with Various

  Silicon Alkoxides as Precursors by Machine Learning 2023

  NIPPON SHEET GLASS CO., LTD.

  Built machine learning models to predict sol-gel coating properties from precursors and

  synthesis conditions, and evaluated their extrapolated prediction accuracy by predicting the

  properties of the coatings which contain silicon alkoxides as precursors not included in

  training data. The data of coating properties for training and evaluation was obtained by

  measuring optical property and various durability of the coatings with 8 types of silicon

  alkoxides as precursors. The use of molecular descriptors as explanatory variables allows the

  model to make extrapolated predictions, and the evaluation results confirmed good prediction

  accuracy.

  Reducing Development Time and Number of Experiments for Sol-Gel Anti-Reflection

  Coatings by Bayesian Optimization 2023

  NIPPON SHEET GLASS CO., LTD.

  Developed composition and process of sol-gel anti-reflection coatings by Bayesian

  optimization, a typical method of materials informatics. Exploration area and target

  properties, %Tgain, abrasion resistance, chemical resistance, and water resistance, were

  defined that are equivalent to past development for comparison. By exploring with Bayesian

  optimization, cycles of experimental data acquisition and machine learning model building,

  coating samples with properties that are equivalent to past composition were obtained in a

  cycle. As a result, the development time was reduced from 4 month to 1.5 month and the

  number of experimental samples were reduced from 82328 to 40 compared to past

  development.

  (Optional)

• Statement of Teaching (Optional)

• Statement on Contributions to Equity, Diversity, and Inclusion - An EDI Statement describes a faculty candidate’s past, present, and future (planned) contributions to equity, diversity, and inclusion. To learn more about how UCLA thinks about contributions to equity, diversity, and inclusion, please review our Sample Guidance for Candidates (https://equity.ucla.edu/programs-resources/faculty-search-process/faculty-search-committee-resources/sample-guidance/) and related EDI Statement FAQ (https://ucla.app.box.com/v/edi-statement-faqs) document.

• Misc / Additional (Optional)

Reference requirements

• 2-4 required (contact information only)

None

Apply link: https://recruit.apo.ucla.edu/JPF09936

Help contact: mhatanaka@seas.ucla.edu

About UCLA

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.

For the University of California’s Affirmative Action Policy, please visit https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf.

For the University of California’s Anti-Discrimination Policy, please visit https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

Job location

410 Westwood Plaza Los Angeles, CA 90024