China Conservatory of Music

Cluster: Engineering Job Purpose We are seeking a Research Fellow at the Singapore Institute of Technology (SIT) to undertake high-quality applied research for a funded project at the Singapore Institute of Technology aimed at advancing understanding of lift-generated noise in residential buildings. The role supports the achievement of the grantor’s objectives and proposed research outcomes through rigorous investigation, close collaboration with the PI and research team, and the development of industry-relevant insights for the built environment sector. We are looking for a passionate and detail-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift traction motor noise and vibration in residential buildings, including conducting sound intensity and vibration measurements, analysing acousto-structural transmission paths, developing predictive models, and producing research outputs that support practical noise mitigation solutions for the built environment industry. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), Co-PI, and research team members to ensure that all technical milestones and project deliverables are achieved. Undertake the following responsibilities in the project: i. Plan and conduct field measurements of lift traction motor noise and vibration in residential buildings using sound intensity probes, accelerometers, and multi-channel data acquisition systems. ii. Perform signal processing, vibration analysis, and acousto-structural transmission path investigations to identify dominant noise sources and structural coupling mechanisms. iii. Develop and implement measurement protocols, experimental setups, and data acquisition procedures for airborne and structure-borne noise studies. iv. Analyse measurement data using specialised acoustic and vibration analysis software, and develop predictive or simulation models to interpret noise propagation and structural vibration behaviour. v. Prepare technical reports, research publications, and presentations to disseminate findings to academic, industry, and funding stakeholders. vi. Assist in the development of mitigation strategies or engineering guidelines to reduce lift-related noise transmission in residential environments. Coordinate site access, field measurements, and technical discussions with project collaborators, industry partners, and building stakeholders. Coordinate procurement of equipment, liaison with vendors/suppliers, and ensure proper calibration, operation, and maintenance of measurement instrumentation. Carry out laboratory and project risk assessments, and ensure compliance with Work, Safety and Health (WSH) regulations during field measurements and experimental work. Co-supervise undergraduate student projects related to acoustics and vibration measurements when required. Work independently, as well as within a multidisciplinary research team, to ensure timely completion of project tasks and research outputs. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements PhD in Acoustics, Mechanical Engineering, Aerospace Engineering, Civil Engineering, or a closely related field. Have relevant competence in acoustics, vibration, and structural dynamics. Familiarity with signal processing and vibration/acoustic analysis techniques. Experience with data analysis using tools such as MATLAB, Python, or equivalent engineering software. Experience with experimental and instrumentation measurements setup for noise and vibration (e.g., sound intensity probes, vibration sensors, or similar instrumentation) involving microphones and accelerometers, or multi-channel data acquisition systems will be advantageous. Knowledge of building acoustics, structure-borne noise, or machinery vibration will be advantageous. Prior research experience with peer-reviewed publications in acoustics, noise control, or vibration engineering will be advantageous. Key Competencies Possess strong analytical and critical thinking skills in solving engineering and research problems. Proficient in technical writing and presentation for reports, publications, and stakeholder communication. Able to work independently while also contributing effectively within a multidisciplinary research team. Demonstrate strong initiative and take ownership of assigned research tasks and project deliverables. Able to organise and manage field measurements, instrumentation setup, and experimental data collection. Good problem-solving ability in addressing technical issues encountered during experiments or measurements. Able to build and maintain effective working relationships with project collaborators, industry partners, and research staff. Self-directed learner who is committed to continuous learning and professional development. 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.

Department: Department of Orthopaedics and Spine Surgery – Faculty of Medicine Deadline: 19 Apr 2026 Start date: 1. 9. 2026 Job type: full-time Job field: Science and research | Education and schooling Director of the University Hospital Brno and Vice-Dean of the Faculty of Medicine of Masaryk University announces a selection procedure for the position a Department Head for: Department of Orthopaedics and Spine Surgery Department of Orthopaedics Surgery is a medical, educational and research institution of the University Hospital Brno and the Faculty of Medicine of MU. It is a workplace with an emphasis on spondylosurgery. It emphasises the connection between clinical practice and the latest knowledge of science and its applications. It is very actively involved in the education of professionals in a wide range of orthopaedics. It collaborates within the trauma centre with other surgical disciplines on the treatment of patients. The Department Head position candidate must be a respected expert in the field of orthopaedics, with experience of working in a given area and with expertise in pre-graduate and postgraduate education. The Head of the department will be responsible for the management of the clinic, undergraduate medical education, doctoral studies, publishing and coordination of research conducted at the clinic. The Candidate for Department Head will present his/her idea of fulfilling the above during the selection process. Requirements for a declared position: University education in general medicine or equivalent education acquired abroad; Eligibility to pursue the profession of physician in the relevant field in accordance with Section 5 of Act No. 95/2004 Coll.; Academic degree PhD or scientific rank of CSc; Habilitation within the meaning of Act No. 111/1998 Coll., on Higher Education, the scientific-pedagogical title of professor is an advantage; Personal and professional requirements for managing the medical and academic team of the clinic; Teaching experience and readiness to guarantee vocational subjects taught at the workplace; Scientific and publishing activities in the given field Active knowledge of the Czech language; Moral integrity; Fulfilment of prerequisites according to Act No. 451/1991 Coll. (the Lustration Act); does not have to document persons born after 1 December 1971 and applicants from abroad. We offer: Work in an inspiring intellectual environment with an emphasis on multi-disciplinary cooperation; Work in a top medical and educational workplace, involvement in teaching in a unique simulation centre; Professional growth and the possibility of continuing education; Supplementary pension insurance and other benefits. Applications together with a structured CV, an overview of scientific and publishing activities, contact details of two persons for references (name, position, telephone number), photocopies of qualification papers and diplomas (external applicants only) a criminal record (no older than three months) certificate according to Act No. 451/1991 Coll. (does not have to document persons born after 1 December 1971 and applicants from abroad), should be sent to the HR department of the Faculty of Medicine through e-Application (see below). For more information, please contact Mgr. Adéla Otáhalová at e-mail adela.otahalova@med.muni.cz

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 innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV). Key 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: Conduct the research work in Human-in-the-Loop AI perception system for autonomous driving Work with the research team, collaborators and the industry partner to design the framework of the proposed solution 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 Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be advantageous. Have strong research record, preferably on top-tier computer science/engineering conferences. Key Competencies Specialized in computer science, computer engineering, or relevant disciplines Enthusiasm in the Deep learning and AV related research Proficient in paper writing and presentation Possess strong analytical and critical thinking 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 Show strong initiative and take ownership of work