University of Michigan-Ann Arbor

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Research Assistant Professor Department of Digital Arts and Creative Industries (Post Ref.: 25/224) The Department of Digital Arts and Creative Industries (DACI) is an interdisciplinary and innovative learning hub that encompasses a wide range of areas, including film and television, animation, museums and curating, art history, as well as digital arts and immersive media. We offer broad theoretical study and practical training for students seeking careers in Hong Kong and the Greater Bay Area's burgeoning creative and cultural industries. DACI currently offers three Undergraduate programmes, BA (Hons) Aminations and Digital Arts, BA (Hons) in Creative Media Industries and BA (Hons) in Visual Studies, and two taught master programmes, MA in Creative and Media Industries (MACMI) and MA in Curating and Art History (MACAH). For more information about the programme, please visit https://www.ln.edu.hk/daci/. DACI is inviting applications for fixed-term position of Research Assistant Professor to contribute to teaching and service to MA in Creative and Media Industries (MACMI) programme. The appointee is expected to: i) teach relevant MA-level courses; ii) supervise MA-level capstone projects; and iii) contribute to service and development of the Department. Requirements Applicants for the position should have: (i) A PhD degree in relevant areas in film and media studies; (ii) Good track record of refereed publications, awards and competitive grants; (iii) Up-to-date knowledge in the literature of media and creative industries with demonstrated strengths along institutional, historical or technological lines; (iv) Teaching experience in some the following subjects: theory, history, and methods of media and creative industries; comparative cultural policy in East Asia; Hong Kong creative and media industries; new technology and media industries; (v) Familiarity with regional mediascapes and current East Asian creative and film industries. Candidates should have obtained / been conferred a PhD degree or an equivalent qualification for no more than five years prior to the commencement of the appointment. The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Salary and Benefits The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on an initial contract of up to three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

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 industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. 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: Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics. Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction. Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy. Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography. Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses. Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers. Reporting: Prepare research findings for publication in scientific journals and present results at conferences. 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. Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Any adhoc duties assigned. Requirements PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics. Proficiency in wave modeling software, particularly Delft3D and SWAN. Strong analytical and problem-solving skills. Research experience in coastal and ocean waves is preferred. Excellent communication (verbal and written) and teamwork abilities Proficiency in machine learning will be an advantage Key Competencies 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

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University assistant predoctoral 59 Centre for Sport Science and University Sports Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5822 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: As a PhD student, you will be an integral part of the Neuromechanics Research Group, led by Dr. Hans Kainz. Based at the Centre for Sport Science and University Sports (Auf der Schmelz 6a, 1150 Vienna), our team focuses on multi-scale simulations to enhance the understanding of typical and pathological movement development. We collect and analyze three-dimensional motion capture data and medical images from various groups, including clinical populations, healthy people and elite athletes. Our goal is to improve clinical decision making in people with movement disorders, enhance evidence-based motor rehabilitation after injuries or orthopedic intervention, and increase our fundamental understanding of how musculoskeletal loads influence the adaptation of biological structures. In your function as a PhD student, you will perform research activities on a specific project, including developing research ideas, conducting your own experiments, performing simulations, validating findings, and collaborating with clinical partners. You will work closely with researchers from different disciplines and contribute to scientific publications and conference presentations. Your future tasks: Research & Innovation: Develop and implement research ideas within the scope of the project. Design and conduct experiments and data collection protocols. Perform musculoskeletal simulations. Validate simulation outcomes. Contribute to scientific publications and conference presentations. Supervision & Teaching (Co-) Supervise BSc and MSc students, guide them through experimental data collection, analysis, and in-silico simulations. Contribute to teaching activities within the department. Collaboration & Project Work You work on your dissertation and its completion. Collaborate closely with clinical and research partners. Participate in regular project meetings and interdisciplinary discussions. Support the continuous development of the group's research infrastructure and workflows. Contribute to project reporting and dissemination activities. You take on administrative tasks in research, teaching and administration. This is part of your personality: Mindset & Soft Skills Highly motivated to pursue research in biomechanics, neuromechanics, and computational modeling. Ability to work independently while contributing effectively within an interdisciplinary team. Strong analytical and problem-solving skills. Excellent organizational and time-management skills. Curiosity, creativity, and a proactive approach to scientific challenges. Strong communication skills and willingness to engage with clinical and research partners. Commitment to conducting high-quality, reproducible research. Enthusiasm for learning new methods and technologies and applying them to complex scientific questions. You should be a team player with high social skills. Education & Expertise MSc in biomechanics, sport science, biomedical engineering, computer science, or a related field. Programming skills in MATLAB and/or Python are required. Strong interest in musculoskeletal modeling, simulation, and movement analysis. Experience with motion capture data, medical image processing, or computational modeling is advantageous. Previous experience with OpenSim-based simulations is considered a strong asset. Previous scientific publications and presentations at national or international conferences are a plus. Fluent in English (written and spoken, C1 Level); German is desirable but not required. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely.  Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: A scientific curriculum vitae (max. 2 pages) and a brief letter of motivation (max. 2 pages) A summary of research interests and initial ideas for a prospective doctoral project (max. 1 page) Copies of the Master's degree or Dilpoma certificate Via our job portal/ Apply now - button If you have any questions, please contact: Hans Kainz hans.kainz@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 06/23/2026 Prae Doc