Asahi University

Description NYUAD HEP Phenomenology group invites applications to a post-doctoral associate position. Candidates with expertise in the following areas are encouraged to apply: Particle physics phenomenology related to neutrino physics, Higgs physics, BSM, cosmology and astroparticle physics. The successful candidate is expected to take a leading role in the research projects in particle physics phenomenology particular in relation to Higgs, neutrino and BSM physics, and help in supervising PhD students. The appointment would be for two years with the possibility of an additional year. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in theoretical high energy physics or related field. Applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Nicolás Bernal nicolas.bernal@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Purpose The primary responsibility of this role is to deliver on an academic research project funded by BCA. The project is in collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors & hardware, and quantitative evaluation of energy savings. You will be required to coordinate with multiple internal and external parties for the successful deployment of technology, test-bedding, and energy performance evaluation. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Candidate will be required to establish test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors, hardware, quantitative evaluation of energy savings, etc. Meeting the deliverables by deployment, demonstration, and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. Coordination with project internal and external team members, vendors, contractors, safety officers, for successful deployment of technology and testing. Assists in the co-supervision of final year projects (FYP) or capstone projects students under the Project PI. Assists the PI in drafting project reports, conference proceedings, and journal articles based on the outcome of the projects. Prepares and shares a fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety, and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering or other related fields Expert knowledge of building air-conditioning and mechanical ventilation, simulation, building automation and control, sensor network, thermal energy storage, indoor air quality, heat transfer, and building energy performance evaluation.  Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control hardware. Knowledge of building management systems, software integration, data collection, and analysis. Industry or research lab experience is required. Strong analytical and conceptual abilities. Ability to work in a team as well as independently. Able to work under pressure and meet deadlines. Key Competencies  Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work

The primary responsibility of this role is to deliver on an academic research project funded by MPA, where you will be part of the research team under the project titled: HarbourCraftSafe: Fire Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate the combustion, flammable and toxic gases emission and dispersion characteristics resulted from battery fires/thermal runaway in the battery room and beyond, considering the various common battery chemistries in eHC and atmospheric conditions. You will also need to experimentally characterise the heat release rate (HRR), flammable and toxic gases emissions of various types of batteries potentially deployed in eHC through reduced scale testing. Lastly, you will also need to evaluate the various gas monitoring sensors performance in detecting the battery gas releases for remote monitoring and early detection, and evaluate the potential fire suppression strategies on battery fires. Job Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the deliverables. iii. Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. iv. Prepares and shares fortnightly report of results from the computations with the PI. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements: Master or Ph.D (preferred) in Mechanical Engineering, Marine and Offshore Engineering or related fields. Strong knowledge and experience in battery fire simulation is high advantageous. Hands on experience on experimental studies Familiarity with CFD applications working on industrial related projects using high performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package and FDS is preferred. Candidate preferably should be familiar and have sufficient experience in using ANSYS FLUENT and FDS, Meshing tool and post-processing software. Able to work independently with strong data analytical skills, communication and interpersonal skills. Key Competencies: Proficient in Ansys Fluent or FDS Simulation Strong foundation in Fluid Dynamics Able to work independently with strong data analytical skills, communication and interpersonal skills. Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work