Miguel Hernández University of Elche

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 making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and 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. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our research focuses on Materials physics, Quantum technology, Soft & living matter, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. The Department of Applied Physics at Aalto University is now looking for a Doctoral Researcher to work on nano-scale control of optical fields. We are looking for an outstanding doctoral student to join the Optics and Photonics group for theoretical and experimental research on nanoscale control of optical fields for applications in optical imaging and photonic chip technology. The research will be focused on the design, fabrication, and testing of optical components with novel functionalities based on nanoscale manipulation of light and its propagation medium. Potential applications of these components range from super-resolution optical microscopes and telescopes to on-chip photonic processors. The appointment is for 4 years with a flexible start in autumn 2026. The research involves collaboration with scientists from the University of Eastern Finland and Tampere University, as well as researcher groups from Germany, Switzerland, and Spain. Your role and goals In this position, you will act as a doctoral researcher working on design and testing of novel nanofabricated optical components. The design will be done using advanced numerical calculation methods, such as Finite Element Method (FEM) and Finite Difference Time Domain (FDTD) method. Approaches based on inverse engineering and machine learning will also be considered. The samples will be fabricated using the clean room facilities of Aalto University and tested using the equipment of the Optics and Photonics group. We expect you to be able to generate good scientific ideas, propose new technological solutions, initiate and maintain scientific collaboration, write scientific articles and research proposals, and participate in teaching. We expect you to graduate as a Doctor of Science in four years. Your experience We expect the candidate to hold a MSc degree in physics and be familiar with standard numerical calculation techniques used in physics. Preference will be given to candidates with good understanding of basic optics and experience in designing optical components and conducting optical experiments. Fluency in English both spoken and written is required. What we offer Aalto University follows the salary system of Finnish universities. The starting salary for a Doctoral Researcher is approximately 3142 €/month (gross), and it increases as you progress in your research and studies. Following the standard practice in the Department of Applied Physics, the contract will be made initially for two years, then extended to another two years after a successful mid-term progress review. The total duration of Ph.D. studies is four years. The annual workload of research and teaching staff at Aalto University is currently 1612 hours. The contract includes Aalto University occupational healthcare. The work is done in Finland, and the primary workplace will be the Otaniemi Campus at Aalto University. Life on the revitalized campus is vibrant, featuring stunning architecture, tranquil nature, and a variety of cafes, restaurants, and services, all complemented by excellent public transportation connections. Ready to apply? To apply for the position, please submit your application including the attachments mentioned below as one single PDF document in English through our online recruitment by using the link on Aalto University’s web page (Click the “Apply Now” button). Letter of motivation (max. 1 or 2 pages) CV Degree certificates and academic transcripts Contact details of at least two references 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. The deadline for applications is August 4th, 2026, at 23:59pm (EEST/UTC +3). For additional information, kindly contact Dr. Andriy Shevchenko, andriy.shevchenko@aalto.fi. The position will be filled as soon as a suitable candidate is identified. Aalto University reserves the right for justified reasons to leave the position open, to extend the application period, reopen the application process, and to consider candidates who have not submitted applications during the application period. Want to know more about us and your future colleagues? You can watch these videos: Aalto University – Towards a better world, Aalto People, and Shaping a Sustainable Future. And this webpage about Aalto and Finland. https://www.aalto.fi/en/services/welcome-to-aalto-university-and-finland-info-package Check out our new virtual campus experience: https://virtualtour.aalto.fi/ 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.

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