Autonomous University of Chiapas

Job Purpose The Research Fellow / Research Engineer (with focus on Healthcare Design and Business) will support applied research and innovation in community and allied health by translating health-related workflow needs, user insights and business requirements into practical service-design outputs, implementation plans, value propositions and evidence reports. The role focuses on healthcare design, business scoping, project coordination and implementation support for healthcare projects. This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of health-related workflows and experience coordinating project implementation with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical design, business and implementation outputs. Key Responsibilities Applied Research & Development Perform clinical needs assessment, user research, service-journey mapping and workflow analysis for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings. Develop healthcare service-design concepts, business requirements and implementation roadmaps for organisational transition, focusing on but not limited to caregiver workload reduction, care-process redesign, adoption planning and care automation support. Support healthcare innovation projects by coordinating user feedback, pilot planning, implementation activities, data collection and outcome documentation for Proof of Concept (POC) and deployment in community-care or healthcare settings. Industry Collaboration Support collaborations with industry and healthcare partners to understand workflow pain points, user needs, business requirements and implementation constraints, and contribute to practical solution development. Assist in project scoping by gathering workflow, design, business and implementation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners). Participate in industry meetings, discussions, and project engagements. Project Execution & Support Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned healthcare design, business and implementation workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment. Generate project reports, presentations, service maps, user-journey documentation, business-case inputs, implementation trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications. Contribute to grant proposals and project submissions where required. Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects. Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned design, business, implementation documentation and project support tasks. Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation. Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation. Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals. Role-specific skill focus — Healthcare Design and Business: conduct user and workflow research; prepare service maps, implementation plans, business-case inputs and value-capture documentation; support evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate workflow and business insights into practical recommendations for Professional Officers, faculty, project leads and healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Health Sciences, Nursing, Healthcare Management, Design, Business, Service Design, Biomedical Engineering, Clinical Research or related disciplines with relevant experience in healthcare design, business scoping, project implementation or healthcare innovation related work. Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings. Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous. Possess understanding of healthcare innovation concepts (e.g., service design, business model development, commercialisation, care automation, health economics and value capture). Strong analytical skills and attention to detail. Excellent written and verbal communication skills. Resourceful, meticulous and problem-solving attitude. Experience supporting or coordinating industry or applied research projects, preferably involving healthcare design, service redesign, business scoping, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions. Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work. Experience supporting project proposals, funded projects or partner engagements will be advantageous. For this Healthcare Design and Business role, relevant experience in health-related workflow analysis, user research, service design, business scoping, implementation planning, stakeholder engagement, value proposition development, benefits tracking or equivalent design/business methods is required. All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation. Key Competencies Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors. Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders. Ability to work collaboratively in a cross-functional and multidisciplinary environment. Proactive approach to continuous learning and development in the healthcare innovation field. Proficient in technical writing and presentation. Possess good analytical and critical thinking skills. Shows good initiative and takes ownership of work undertaken. Project management skills, including planning and execution of healthcare design, business and implementation projects. Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets. Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in healthcare design and business, including workflow analysis, user research, service mapping, business scoping, implementation planning, benefits tracking and preparation of concise reports. Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation. Ability to work as part of a coordinated delivery team, with clear documentation of assigned design, business, implementation and project outcomes toward the overall KPI commitments.

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral 39 Faculty of Computer Science Startdate: 01.08.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.07.2029 Reference no.: 5671 The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. The job posting includes two pre-doctoral positions, each for 30 hours per week. 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: The two postdoctoral positions are based in the newly established “Computer Science Education Group” (CSEG) within the “Didactics of Computer Science” professorship, led by Mag. Dr.techn. Bernhard Standl in the EDEN research group at the Faculty of Computer Science at the University of Vienna. The positions are situated within the research fields of computational thinking and AI literacy. The dissertations will focus on computer science education, with an emphasis on the empirical investigation of teaching and learning processes related to fundamental computational ways of thinking and acting, such as problem-solving processes, abstraction, modeling and pattern recognition as well as the understanding, application and reflection on artificial intelligence. A central research environment is the Computer Science Teaching and Learning Lab, where teaching and learning scenarios are developed, tested, empirically investigated and further refined in both school and university contexts. These positions offer the opportunity to contribute to a newly emerging research group, write a cumulative dissertation in computer science education and engage with national and international research networks. The selected pre-doctoral researchers will also be integrated into the UniVie Doctoral School of Computer Science (DoCS). Your future tasks: You actively participate in research, teaching & administration, which means: You are working on your dissertation and its completion in the field of computer science education, specifically on computational thinking, AI literacy, fundamental concepts in computer science or digital literacy. You develop and test computer science education workshops and teaching-learning scenarios for the Computer Science Teaching-Learning Lab and for use in schools. You conduct these workshops in the Computer Science Teaching and Learning Lab and in school-based collaborative settings. You conduct empirical research on the developed teaching and learning scenarios, evaluate the results and iteratively refine the concepts. You author academic publications, conference papers and presentations. You participate in research-based teaching as well as in school collaboration initiatives, knowledge transfer activities and organizational tasks within the research group. We expect you to finalize your dissertation agreement within 12 months. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed Master's degree or Diploma in the field of computer science, teaching digital literacy and computer science, computer science education or a related field with a clear focus on computer science or computer science teaching and learning processes. A strong interest in computer science education, AI literacy, computational thinking and empirical teaching and learning research. Willingness to work on a dissertation in the field of computer science education. Basic knowledge of empirical research methods or a willingness to develop these skills further. Strong computer science and technical skills, particularly in programming, digital tools or computer science teaching and learning settings. Excellent command of written and spoken German and English (C1 Level). A structured, independent and reliable work style, ability to work in a team, strong communication skills and a passion for interdisciplinary collaboration. Desirable qualifications include: Knowledge or experience in one or more of the following areas: computational thinking, programming, algorithmic thinking, physical computing, robotics, modeling, basic computer science education, AI literacy or general digital literacy. Experience in schools, teacher education, learning support or educational work. Initial experience with qualitative, quantitative or mixed-methods research designs, design-based research, instructional development or the evaluation of teaching and learning settings. 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) (paid 14 times a year) increases if we can credit professional experience. Duration of contract: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent A cover letter explaining why you are a good fit for the position and the research field of computational thinking / computer science education A brief outline of potential dissertation topics, approx. 1–2 pages Proof of completion of a master’s or diploma program Abstract of your master’s or diploma thesis If available: list of publications, proof of teaching experience, classroom experience, project collaboration or academic presentations Optional: a representative writing sample, e.g., master’s thesis, seminar paper or publication Via our job portal / Apply now - button If you have any questions, please contact: Bernhard Standl bernhard.standl@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: 06/15/2026 Prae Doc

Job No.: 689139  Location: Clayton campus Employment Type: Full-time  Duration: Continuing appointment  Remuneration:  $150,841 - $173,931 pa Level C / (plus 17% employer superannuation)) $181,629 - $200,092 pa Level D (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Faculty of Education is seeking to appoint two academics to contribute to excellence and innovation in mathematics and literacy education from a learning sciences perspective. These positions supports the University’s academic mission through impactful research, scholarly engagement and curriculum innovation, strengthening the Faculty’s leadership and broader academic profile in learning sciences and educational impact. The opportunity is available at Senior Lecturer (Level C) or Associate Professor (Level D), with appointment determined by the successful candidate’s experience, expertise and demonstrated contribution to the field. In this role, you will be responsible for delivering and coordinating teaching across mathematics or literacy education from a learning sciences perspective, developing curriculum and learning materials, supervising honours and higher degree research students, and contributing to research and scholarly publications. At Level C, you will lead unit development, contribute to research projects, and support Faculty initiatives and committee activities. At Level D, you will provide academic leadership through research mentoring, curriculum planning, competitive grant development, staff supervision, and strengthening national and international partnerships.  As the successful candidate, you will demonstrate expertise in learning sciences within mathematics or literacy education, supported by a strong research publication record, advanced curriculum design capability, and excellence in innovative teaching practice. At Level C, you will bring experience in research supervision, unit coordination, and developing collaborative research partnerships. At Level D, you will demonstrate leadership in securing competitive research funding, mentoring researchers, expanding HDR supervision, and building nationally and internationally recognised research collaborations and academic networks.  About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.  Learn more about Monash. Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us. To Apply For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor Mary Ryan, Dean, Mary.Ryan@monash.edu  Position Descriptions:  Senior Lecturer Associate Professor Applications Close: Thursday 25 June 2026, 11:55pm AEST