Calvin University

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: Signal processing combined with AI-based modification on speech signals. The need is for a real-time system, so efficient coding is important. Key Responsibilities: Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met.  Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications. Deliver solution-ready demonstration code. Interact well within the team and the customers. Be self-directed to fulfil the project requirements. Job Requirements: Competence in working with languages such as C along with AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China. Key Competencies: A self-directed worker who believes in continuous learning and development Proficient in academic writing  Possess good critical thinking skills Show strong initiative and take ownership of work Interest in AI, machine learning, image/audio processing

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

Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global challenges. Our community is made up of 13,000 students, 400 professors and close to 4 500 other staff members working on our vibrant campus in Espoo, Greater Helsinki, Finland. We actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Engineering drives science and innovation in industrial and built environment technologies. We are committed to educating a new generation of experts who combine technical excellence with a deep understanding of sustainable development in shaping societies. Our research focuses on sustainable built environment, mechanics and materials, multidisciplinary energy technology, and design and implementation of technical systems. The strength of our school lies in close collaboration with stakeholders across research and education. About 45 doctoral candidates and 350 master’s students graduate from the school every year. The school is home to 700 staff members, including 70 professors. To learn more, please visit eng.aalto.fi. The Department of Energy and Mechanical Engineering at the Aalto University School of Engineering invites applications for Assistant Professor in Industrial Digital Twins (tenure track) Aalto University Department of Energy and Mechanical Engineering is a community of around 300 staff members – including 30 tenure track professors – assembled to research, teach, create, and develop solutions for society’s needs. Key research areas include marine and arctic technology; energy technologies and systems; mechanical systems and mechatronics; and materials, manufacturing, and product development. We have strong links to industry, creating lasting impact in both business and society. We are now looking for an assistant professor in Industrial Digital Twins that will be placed in Mechatronics research group at Department of Energy and Mechanical Engineering. In this position you will have a chance to make an impact by research and education by developing further Industrial Digital Twins together with our stakeholders. This position strengthens department’s research profile in industrial digital twins, supporting industry and society as they move toward autonomous and intelligent machines and complex mechanical systems. The research will focus on digital twin–enhanced industrial machinery, industrial information integration, and connected assets through networks of digital twins, aiming to enable efficient, flexible, and resilient next-generation machines, such as autonomous robots and industrial systems. The research should not focus merely on simulation or model-based approaches but consider digital twin as a holistic approach for industrial information management through the whole life-cycle of the products. In addition, this professorship deepens the core profile in machine design for efficient and autonomous systems by adding a focused position on industrial digital twins, creating pathways to increased productivity, energy efficiency, resilience, and safety, as well as a transition to circular and service-based business models. It will leverage and further develop the Aalto Industrial Internet Campus (AIIC) as an open innovation environment for cyber-physical experimentation and industrial collaboration. As a tenure-track faculty member, you are expected to complement the expertise of the current faculty by bringing new ideas and perspectives into our community. You are also expected to teach in our study programmes with a typical teaching load of about two or three courses per year, supervision at the B.Sc., M.Sc., and D.Sc. levels, and in activities at the curriculum development. You also have potential or proven record of working with industrial partners as well as with students. The position will be located at the Aalto University Campus in Otaniemi, Espoo. In addition to general competence in Industrial Digital Twins, we are looking for a candidate with demonstrated ability to translate scientific research to practical level mechanical engineering solutions and innovations on one or some of the following topics: Industrial digital twins and networked digital twins Digital design of systems, focusing on mechanical engineering Interoperability between industrial systems enabling autonomous operations Industrial Internet and digital disruption of industry Validation of digital twins Your role and goals Leadership in research of Industrial Digital Twins (you will build your own team) and raising funds for your team Leading and developing activities of Aalto Industrial Internet Campus Supervising doctoral and Master’s students (often with company partners) Responsible teacher for mechatronic courses, such as MEC-E5001 Mechatronic Machine Design and MEC-E5013 Introduction to Industrial Internet Participation in Bachelor level education Your network and team Co-creation with other Aalto University stakeholders crossing the school borders is a particular characteristic for this position. Mechatronics group collaborates a lot with academics in electrical power engineering and electronics engineering. Mechatronics group is a proud member of Academy of Finland Centre of Excellence “High-Speed Electromechanical Energy Conversion Systems”. Your experience and ambitions We are eagerly looking for a candidate, who’s research interest includes theoretical and experimental approaches in research of engineering grand challenges. An ideal candidate, with a relevant doctoral degree, has experience in cooperation with company partners and wide understanding and demonstrated capability to cooperate with various stakeholders both nationally and internationally. As well, you have potential or demonstrated capability to acquire competitive funding or direct company funding. Your publications preferably demonstrate a strong focus on topic area and show evidence of your ability to translate scientific research to practical level solutions and innovations. The traditional field of mechanical engineering undergoes constant change as it is used to revolutionize the modern world and how we see it. Today, applications of mechanical engineering are often systems of systems consisting of mechanical engineered components with connections to electrical, materials, control, and engineering. The applications must operate in challenging environments. The mechatronics engineering must find a balance between mechanical engineering core principles and emerging and cross-disciplinary technologies. This position is aimed to do this from mechanical engineering perspective. Merits which are limited to purely electrical or software engineering do not suffice. After all, we are also looking for a passioned educator, and we can’t highlight too much the importance of teaching and learning activities within the field. Ideally, the candidate would be able to demonstrate interest in constant development of teaching. In the long term your work will have a social impact also in wider perspective. As a summary, we have an interesting position for an early-career academic, who is able to network with Finnish industries and the academic community at Aalto University and beyond. However, for the right candidate the best part of the job is working with our students and staff.  What we offer Aalto University provides an inspiring environment for the growth of early-career talents. Our university has several, globally highly ranked fields of expertise, and it is one of the most international universities. We have Meaningful and inspiring environment. We are proud of our purpose to shape a sustainable future. We spark the game changers of tomorrow, and renew society with research-based knowledge, creativity and an entrepreneurial mindset. Culture that inspires and includes everyone. All our work is guided by the values of the university: responsibility, courage, and collaboration. It’s the people that create Aalto, now and in the future. We want to be an open community where equality and inclusion enable curiosity, innovation, collaboration, and wellbeing. Responsible and meaningful role with true impact in our University’s/ School’s success, and in the end, in the wellbeing and development of our society. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways to empower – and invest in – our people. This position belongs to our tenure track system (https://www.aalto.fi/en/tenure-track) and will be filled to the assistant professor level. Please read more about our tenure track evaluation criteria and requirements at https://www.aalto.fi/en/services/tenure-track-evaluation-criteria. The salary is based on Aalto University salary system, but you can also provide your own salary request. Join us! Please submit your application by September 14, 2026 through our recruiting system by using the "Apply now!" link. Please include the following documents in English as one pdf file:  Motivation letter Curriculum vitae - Please use the template (opens in new window) recommended by The Finnish Advisory Board on Research Integrity (TENK), please include a unique researcher ID in your CV Research work portfolio - For instructions, visit Policies and Procedures document, page 24 The list of publications (with three most significant publications highlighted) Copies of three most significant publications and justification for significance in these publications and your role in them described Teaching Statement - see Guidelines-for-a-candidate---Assessment-of-teaching-competence-in-the-recruitment-of-assistant-professors_final.pdf Names, positions, affiliations and e-mail addresses of three (3) senior research leaders available for providing recommendation letters  General instructions for applicants including language requirements and guidelines for compiling the teaching portfolio and CV are at https://www.aalto.fi/tenure-track/interested-in-joining-our-tenure-track Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. For more information about the role, please contact Professor Petri Kuosmanen, petri.kuosmanen@aalto.fi. For questions related to the application process, please contact HR Advisor Anna-Maija Harju, anna-maija.harju@aalto.fi or hr-eng@aalto.fi Want to know more about us and your future colleagues? You can watch these videos: This is Aalto University! Aalto University – Towards a better world and Shaping a Sustainable Future. Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi/ About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was listed again as the happiest country in the world: World Happiness Report 2024 For more information about living in Finland: Aalto Careers for International Staff. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.