Universidade Estadual do Norte do Paraná (UENP)

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: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5859 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: 07/02/2026  Prae Doc https://jobs.univie.ac.at/job-invite/5859

The Southampton Nanofabrication Centre (SNC) Facility has a vacant position for a cleanroom process engineer specialising in PECVD (Plasma Enhanced Chemical Vapour Deposition), ALD (Atomic Layer Deposition), and dry-etch plasma processing. The successful applicant will be responsible for delivering user training, creating support documentation, process development, initial fault investigations, preventative maintenance tasks, consumable ordering, and re-qualification for the facilities toolset (9 tools total). They will provide specialist advice, recommendations on complex issues, and develop operational best practices to support research, enterprise, and commercial activities. Some support of relevant thin film characterisation tools will also be included. Applicants will have experience of a semiconductor fabrication cleanroom environment performing thin film processing at wafer scale. They will be experienced and knowledgeable in some or all fields of PECVD, ALD, and dry-etch plasma processing at a practical and theoretical level, plus relevant thin film characterisation techniques. An understanding of tool hardware is beneficial but not essential, maintenance duties will be limited to initial fault diagnosis and routine tasks. An average week could be 3 days directly supporting facility users from varying backgrounds via tool training and use, 1 day process development/area improvement, and 1 day admin/other tasks. Applicants will be capable of self management via task prioritisation and planning, scaling to small projects consisting of several linked tasks. Continuous improvement is an important part of the role and all facility staff are encouraged to self identify opportunities for its implementation. The successful applicant will possess well developed IT skills. Experience with MS Office/365/Sharepoint and a demonstratable ability to develop and deploy data collection, analysis, and automation is desirable, e.g. Excel, JMP, Minitab, Python, or other scripting methods. As well as additional benefits that will make your life easier, such as a generous holiday allowance and additional university closure days. We will support your long-term future too, with access to the Universities Superannuation Scheme (USS), subsidised health and fitness facilities and a range of discounts.  We are proactive in fostering a culture of inclusion, respect and equality of opportunity. We select candidates based on merit and ability and aspire to thrive in the diversity of our workforce. We welcome applications from all candidates with an interest in the role and those who are committed to helping us create an inclusive work environment.  Please note that this role is full time based at Southampton's Highfield campus and does not support remote or hybrid working.

At the University of Vienna, over 11,000 people work together on the big questions of the future. Around 7,500 of these are academic staff who, driven by curiosity, are engaged in international research and teaching at the highest level and strive for excellence. ViCAS Mid-Career Fellow 2027-2028 695 Vienna Centre for Advanced Studies Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5860 Each academic year, the Vienna Centre for Advanced Studies (ViCAS) welcomes mid-career and advanced fellows from around the world and across all academic disciplines. Selected for their outstanding scholarly achievements and intellectual promise, fellows join a dynamic community of researchers committed to advancing knowledge through dialogue, collaboration, and independent inquiry. What ViCAS offers The University of Vienna offers multiple fellowships as part of its ViCAS Call 2027-2028 for funded residencies starting 1 October 2027 (4 or 9 months) or 1 March 2028 (4 months).The residential ViCAS fellowship programmes foster meaningful engagement among fellows and with researchers at the University of Vienna. Through shared intellectual interests, interdisciplinary exchange, and participation in the Centre’s activities, fellows contribute to a stimulating scholarly environment that encourages new perspectives and connections.Fellows are provided with a dedicated workspace at the ViCAS premises, located in Vienna’s historic city centre. Combining an exceptional setting with a focused research environment, the Centre offers ideal conditions for sustained reflection, writing, and scholarly exchange. What you offer A genuine interest in contributing to an interdisciplinary fellowship community and actively engaging with scientists at the University of Vienna. An outstanding and original research project with the potential to stimulate intellectual exchange within the ViCAS community and among researchers at the University of Vienna. Eligibility You are eligible to apply for a ViCAS Mid-Career Fellowship if Your doctoral degree was awarded at least three years ago at the date of the call deadline. You have an excellent record of research achievements relative to your career stage. You have established an independent research profile. A professor at the University of Vienna endorses your application. Application materials Detailed information can be found on the ViCAS website. Please, carefully read the Application Guidelines and the Questions & Answers section. How to apply All applications must be submitted electronically via the ViCAS website. Application deadline is Friday, August 28th, 2026, at 14:00 Vienna Time (CEST). If you have any questions, please contact: Dr. Hilde Janssens support.vicas@univie.ac.at The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. University of Vienna. Space for personalities. Since 1365. Application deadline: 08/28/2026 Fellowships https://vicas.univie.ac.at/becoming-a-fellow