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Purpose SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or products and implementing AI solutions using ready AI tools to ensure a fast implementation to market. The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT’s centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community.  SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy.  The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research.  The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum.  SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as:  Advanced Manufacturing & Semiconductors  Urban Systems  AI-Augmented Engineering  AI Safety & Security  Chemical Engineering & Biotechnology  Hospitality and Tourism  Healthcare  Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Key Responsibilities Lead or co-lead innovation projects with industry which includes SMEs, MNCs, government agencies. Work closely with centre head and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes.  Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application.  A minimum of 8 years working experience in industry. Strong technical expertise in one or more of the following areas:  Usage of AI tools or software to solve industry problems or enhance industry operations Computer Vision and Image Processing  Machine Learning, Deep Learning, and Reinforcement Learning  Large Language Models (LLMs) and Multimodal Models  Generative AI, Agentic AI, Physical AI, and Embodied AI  Trustworthy AI, including explainability, auditability, and privacy  Edge AI and model optimisation  Time-series modelling and anomaly detection  Digital twins and simulation  Demonstrated Applied AI for Healthcare and clinical practice  Industry 4.0 and/or Industry 5.0 (added advantage) Experience utilizing AI tools to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism.  Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. 

Tenure-Track Professor, Open Rank - Fashion Design Management Department of Human Centered Design College of Human Ecology, Cornell University The Department of Human Centered Design (HCD) at Cornell University's College of Human Ecology invites applications for an open rank, tenure-track faculty position in Fashion Design Management. We seek an exceptional scholar whose work sits at the intersection of management inquiry and empirical analysis of the global fashion industry — work that bridges analytical depth with an understanding of how individuals, organizations, and markets interact within complex, evolving fashion systems. HCD is housed within the College of Human Ecology. Guided by its Vision 2030 priorities — including sustainability and society, technology and human thriving, and health equity — the College is committed to scholarship that connects rigorous inquiry to consequential human questions. HCD brings that orientation to design, policy, and business, and faculty in this position will find an intellectual home that values both analytical depth and real-world relevance. HCD is a transdisciplinary community spanning creative studio practice, fiber and materials science, environmental design, and fashion business. Formed through the integration of two longstanding departments — Design + Environmental Analysis and Fiber Science & Apparel Design — HCD brings together scholars and practitioners who share a conviction that design is a powerful lever for human and societal flourishing. Faculty work across a wide spectrum, from computational fabrication and textile engineering to spatial design and environmental psychology to consumer behavior and global supply chains, with a shared commitment to human-centered inquiry. Within this community, the department is now seeking to deepen its expertise in fashion management specifically. We want to hear from scholars who can make a compelling argument for how their work extends and advances the department's existing strengths and priorities in fashion design management — researchers with a distinctive point of view about where the field is heading, and the methodological and theoretical tools to contribute to that trajectory. Successful candidates will articulate a coherent and focused research agenda. Scholarship in one or more of the following areas is especially encouraged: global supply chain strategy, sourcing, and trade policy; brand strategy, consumer behavior, and the economics of fashion cultural production; the application of big data, machine learning, and quantitative methods to fashion business problems; entrepreneurship and innovation in fashion creative industries. The successful candidate will demonstrate an active research program that is nationally and internationally recognized — or, for junior candidates, clear and convincing evidence of the trajectory and momentum to build one — with a publication record in top-tier, peer-reviewed journals appropriate to the discipline. Empirical and quantitative competence is expected; the ability to bring analytical methods to bear on fashion management problems is central to what we are seeking. We are particularly interested in candidates whose scholarship is rigorous, theoretically grounded, and generalizable to fashion-related industries. Faculty responsibilities center on research and teaching in equal measure, with service understood as an integral part of both rather than a separate obligation. The successful candidate will teach undergraduate and graduate courses and advise students across B.S., M.A., M.S., M.P.S., and Ph.D. programs. A doctoral degree is required. We welcome scholars from management, fashion, strategy, business, economics, organizational behavior, consumer behavior, and related disciplines whose doctoral training includes strong empirical and quantitative foundations and whose work engages meaningfully with the fashion industry. Cornell University is committed to its founding principle of educating "any person…in any study," and offers a collegial and intellectually vibrant environment in Ithaca, in the heart of the Finger Lakes region. Cornell actively supports dual-career couples through its Dual Career program and membership in the Upstate New York Higher Education Recruitment Consortium. To apply, please submit the following materials via this link: https://academicjobsonline.org/ajo/jobs/32233 Cover letter, including a statement of how your work engages with the department's mission Curriculum vitae Three examples of excellent scholarship (published, forthcoming, or working papers) Research statement Teaching statement Names and contact information for three references, who will not be contacted without prior notice Where any of these materials are available online, please also submit a Word document identifying each posting and providing the corresponding URL. The start date for this position is to be determined but may be as early as July 2027. Applications submitted by October 15, 2026, will receive priority consideration. The search committee will conduct the majority of its screening during November and December 2026. Applications will continue to be accepted after that date until the position is filled. For more information, please contact Sienna Torbitt at slt86@cornell.edu. Employment Assistance: For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu. If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell Office of Civil Rights at voice (607) 255-2242, or email at accommodations@cornell.edu. Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor. Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering the following criteria: Prior relevant work or industry experience. Education level to the extent education is relevant to the position. Academic Discipline (faculty pay ranges reflects 9-month annual salary) Unique applicable skills. Cornell welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities, to further the founding principle of “... any person ... any study.” No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law. Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We hire based on merit and encourage people from historically underrepresented and/or marginalized identities to apply. Consistent with federal law, Cornell engages in affirmative action in employment for qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified individuals with disabilities under Section 503 of the Rehabilitation Act. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 3,000 of them work in administration and organisation, around 7,700 do research and teaching. We are currently seeking a/an University Assistant (praedoc) in the platform "Spacetrace" 49 Faculty of Social Sciences Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5830 We are looking for a PhD student to join the Department of Science and Technology Studies, Faculty of Social Sciences, to work as part of the Research Platform ‘Spacetrace’. Your tasks will include developing and carrying out your dissertation project, teaching, and actively participating in platform and department activities. Your personal sphere of influence: The University Assistant praedoc will join the Department of Science and Technology Studies which is part of the Faculty of Social Sciences. Science and Technology Studies is a social science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The advertised position is affiliated with the University Research Platform SPACETRACE (Pollution of the Atmosphere by a Rapidly Growing Space Industry). SPACETRACE starts from the observation that the commercialization of space has led to a dramatic increase in rocket launches and satellites in Earth orbit – with largely unknown consequences for the atmosphere. Possible impacts include effects on the stratospheric ozone layer, the radiation balance of the Earth, and on ice cloud formation. The research platform brings together researchers from three faculties with expertise in social science, aerosol physics, and atmospheric sciences, to investigate the effects of emissions from rocket launches and the re-entry of space debris on the atmosphere, climate and society. Within SPACETRACE, four PhD positions are available, of which one is at the Department of Science and Technology Studies, and supervised by Assoc. Prof. Dr. Nina Klimburg-Witjes. Research will focus broadly on one or more of the following questions: 1) What socio-political and economic logics underpin the current expansion of mega-constellations and commercial launch activities despite known environmental risks? 2) How do national and international governance structures frame space debris and atmospheric emissions—as security threats, sustainability concerns, or acceptable trade-offs for innovation? 3) What legal and regulatory mechanisms are needed to address the planetary-scale externalities of orbital activities, and what power asymmetries shape these debates? 4) How do different regions and populations bear the uneven environmental and security risks associated with space debris, especially in the context of re-entry fallout and climate feedbacks? The position is advertised to the extent of 30 hours/week (75%) for a period of four years. The anticipated start date is October 1st, 2026. Your future tasks: The successful candidate will work on a PhD dissertation, participate in research activities of the research platform and department. You will: Design and carry out your PhD research; Collaborate with colleagues and participate in department seminars and research activities; Present your research at national and international conferences, meetings, and symposia; Teach courses independently, as defined by the collective agreement, including examination duties and student advising. This is part of your personality: You have a university degree (Master or equivalent) in the Social Sciences or in another field, if the applicant can provide evidence of significant prior experience in Science and Technology Studies; You have knowledge of the theories and methods of Science and Technology Studies; You can demonstrate the ability to successfully plan, conduct, and write up research; You are motivated to work in an interdisciplinary team with colleagues from STS and Physics (no background in physics needed!); You have excellent proficiency in English, proficiency in German (or readiness to acquire it) is an advantage; You are interested in team work and collective research activities; You have excellent organisational skills and the capacity to make long-term plans; You are reliable and well organised. What we offer: A lively, active, and internationally oriented STS environment; Mentorship and a commitment to supportive supervision that helps you realise your research; Team culture with regular opportunities to exchange and socialise; Emphasis on work-life balance and on healthy research culture; Support and training through participation in the Vienna Doctoral School of Social Sciences; Opportunities for internal training and coaching as well as enhancement of personal skills from the University of Vienna. The basic monthly gross salary for this advertised position currently is € 3.776,10 (full time) and will be paid 14 times a year for a period of four years (i.e., the duration of the contract). The basic salary increases if we can credit prior professional experience. Initially limited to 1.5 years, the employment relationship is automatically extended to four years if the employer does not terminate it within the first twelve months by submitting a non-extension declaration. It is that easy to apply, with: A Curriculum Vitae; A Letter of motivation specifying your capacities in the above mentioned areas of work; Transcripts of prior academic studies; A 3-5 page outline of your proposed PhD project in Science and Technology Studies on a topic relating to Space Governance, Innovation and Politics with a particular focus on space debris and sustainability Names and contact details of two referees. If you have any content questions, please contact: Nina Klimburg-Witjes nina.witjes@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: 07/30/2026  Prae Doc https://jobs.univie.ac.at/job-invite/5830