Kenzhegali Sagadiyev University of International Business (UIB)

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

Ref.: 534748 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref: 534748) Applications are invited for appointment as Post-doctoral Fellow(s) in Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with a particular focus on applying these numerical approaches to quantum many-body systems, such as correlated 2D materials, quantum Moire systems, frustrated magnets, topological order, quantum phase transitions beyond Landau-Ginzburg-Wilson paradigms, etc. The recent works of Prof. Meng and the group can be found at https://quantummc.xyz/publication. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (http://jobs.hku.hk) and upload an up-to-date C.V., a cover letter with a publication list and a research statement. Applicants should also arrange two reference letters to be sent directly by the referees to Prof. Zi Yang Meng at zymeng@hku.hk. Review of applications will start as soon as possible and continue until September 18, 2026, or until the post is filled, whichever is earlier.. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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. The primary responsibility of this role is to deliver on an academic research project funded by HTX, where you will be part of the research team under the project titled: Occupant Tenability and Time to Flashover in Small-Sized Flats (Numerical Study Phase) Under this job, you will develop a CFD modelling platform to study effects of different ventilation factors on an occupant’s tenability when trapped in the bedroom and have a reliable time to flashover within representative HDB units. 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: Assists in co-supervision of final year projects (FYP) or capstone projects students under the Project PI. 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. Assists the PI in drafting of reports, conference proceedings and journal articles based on the outcome of the projects. 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. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other adhoc duties assigned by Supervisor. 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, Fire Engineering or related fields. Strong knowledge and experience in flashover/building 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 building 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 FDS and ANSYS package is preferred. Candidate preferably should be familiar and have sufficient experience in using FDS and ANSYS FLUENT, Meshing tool and post-processing software. Key Competencies: Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work