AVAILABLE POSITIONS

UNDERGRADUATE STUDENTS

Undergraduates are welcome to join our group and will be compensated if funds are available! Please contact me if you're interested.

GRADUATE STUDENTS

We are always looking for talented, self-motivated graduate students to join our team. If you are interested, please send me an email with a brief cover letter describing why you are a good fit for the position and why you would like to join our team, along with your current resume including all your academic work (if any). If you have some published work that is relevant to the research activities at the FSI group, you should attach those to the email as well.

POSTDOC

If you are interested in a postdoc position related to our research group's activities, please send me your detailed CV along with a one- to two-page cover letter explaining why you are a good fit for this position and what skills you possess that would be beneficial to the project.

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If you are self-funded or funded by other agencies/governments, the process is somewhat simplified because you will not have to compete with others. Please send me an email containing a detailed resume and a one-page cover letter in order to discuss potential opportunities.

POSTDOC 1

ORE POSTDOCTORAL RESEARCHER – ID# 222497.

CLOSING DATE:  August 30, 2022, or until filled. Applications received after this deadline may be considered only if the position is not filled or up to the date a selection has been approved by the RCUH (whichever comes first). INQUIRIES:  Deniz Gedikli 956-5894 (Oahu). 

Regular, Full-Time, RCUH Non-Civil Service position with the School of Ocean and Earth Science and Technology (SOEST), Department of Ocean and Resources Engineering (ORE), located in Honolulu, Hawaiʻi. Continuation of employment is dependent upon program/operational needs, satisfactory work performance, availability of funds, and compliance with applicable Federal/State laws.

MONTHLY SALARY:  Salary commensurate with qualifications. 

DUTIES:  Develops a data-driven modeling framework for safe maritime operations in the Arctic and Sub-Arctic regions. Performs large data synthesis of met-ocean and structural response data from several sources and analyzing them using data driven methods including but not limited to reduced-order modeling, machine learning and artificial intelligence. Model design includes, structural modeling of the ice-structure interaction using physics modeling techniques and software. Designs numerical and physical experiments to explore hypotheses, makes decisions to solve problems, and takes the lead in implementing the solutions as needed. Under the mentorship of the Principal Investigator (PI) and in collaboration with the Coastal Hydraulics Engineering Resilience (CHER) research lab group in Civil & Environmental Engineering’s (CEE), leads the presentation of research results at international meetings, and leads the writing of at least one journal manuscript per year for high-quality peer-reviewed international journals. Oversees and trains graduate students and undergraduate students on modeling framework, concentrating on ocean engineering challenges in harsh environments. Makes significant contributions to this evolving field.

PRIMARY QUALIFICATIONS:

EDUCATION/TRAINING

PhD from an accredited college or university Civil Engineering, Mechanical Engineering, Ocean Engineering, Offshore Engineering, Naval Architecture and Marine Engineering, Arctic Engineering, Applied Mathematics, Oceanography, Atmospheric and Earth Sciences or related field.

EXPERIENCE

One to three (1-3) years of experience in mathematical modeling, system identification and data analysis of Arctic offshore engineering systems. Includes experience with big data analysis and management.

KNOWLEDGE

Fundamental and practical knowledge in data-driven modeling, dynamical systems, fluid-structure interactions, climate change, dynamics of variety of fixed/floating offshore structures and energy systems. Knowledge of MATLAB and Python are essential.

ABILITIES & SKILLS

Excellent interpersonal and project management skills, excellent written and oral communication skills, with the ability to write technical reports and scientific journal papers. Ability to transfer knowledge to a general public and non-specialist audiences, and with experience in working with diverse groups and industry.

POLICY/REGULATORY REQUIREMENT

As a condition of employment, employee will be subject to all applicable RCUH policies and procedures and, as applicable, subject to University of Hawai‘i's and/or business entity's policies and procedures.  Violation of RCUH's, UH's, or business entity's policies and/or procedures or applicable State or Federal laws and/or regulations may lead to disciplinary action (including, but not limited to possible termination of employment, personal fines, civil and/or criminal penalties, etc.).  

SECONDARY QUALIFICATIONS:    

Previous experience publishing scientific results in peer-reviewed scientific journals and publications. Experience with programming in FORTRAN.

APPLICATION REQUIREMENTS: Please go to www.rcuh.com and click on “Job Postings.” You must submit the following documents online to be considered for the position: 1) Cover Letter, 2) Resume, 3) Supervisory References, 4) Copy of Degree(s)/Transcript(s)/Certificate(s). All online applications must be submitted/received by the closing date (11:59 P.M. Hawai‘i Standard Time/RCUH receipt time) as stated on the job posting. If you do not have access to our system and the closing date is imminent, you may send additional documents to rcuh_recruitment@rcuh.com. If you have questions on the application process and/or need assistance, please call (808)956-7262 or (808)956-0872. 

RCUH’s mission is to support and enhance research, development and training in Hawai‘i, with a focus on the University of Hawai‘i.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.