Arba Minch University

Ref.: 533567 Work type: Full-time Department: Department of Electrical and Electronic Engineering (14300) Categories: Professoriate Staff Tenure-Track Associate Professor/Assistant Professor in the Department of Electrical and Electronic Engineering (EEE) (Ref.: 533567) The University of Hong Kong has a highly ranked engineering school and active electrical and electronic engineering programmes. The EEE Department offers B.Eng., M.Sc., M.Phil. and Ph.D. programmes. Information about the Department can be obtained at http://www.eee.hku.hk  The Position We now invite application for appointment as Tenure-Track Associate Professor/Assistant Professor in the Department of Electrical and Electronic Engineering (EEE) Duties and Responsibilities We welcome applications from candidates with expertise in one or more of the following areas (but not limited to): Analog, mixed-signal, and RF integrated circuits Low power digital circuit and high-speed circuit design Emerging circuit technologies, including 3D ICs, heterogeneous integration and advanced circuit packaging Circuits design for artificial intelligence, power management IC, and quantum applications Interdisciplinary scholars with a vision for connecting IC design with device technology, system architecture, or AI hardware are particularly encouraged to apply. The appointees will be expected to teach undergraduate and postgraduate courses related to integrated circuit and system design, analog/mixed-signal and digital ICs, semiconductor device fundamentals, electronic design automation, and emerging hardware systems, among others. They will also supervise research postgraduate students, contribute actively to research and knowledge exchange, undertake school practicum supervision, and assume service/administrative responsibilities as appropriate. Those appointed at Associate Professor level will also be expected to lead collaborative and interdisciplinary initiatives in research and knowledge exchange, mentor and nurture the next generation of scholars and researchers, and assume high-level service/administrative responsibilities. Requirements Applicants should possess a Ph.D. degree in Electrical and Electronic Engineering or a closely related field, with a strong commitment to research and teaching, a solid track record in or strong potential for research, scholarly publications, and competitive external funding. What We Offer The appointment will be made on fixed-term full-time contract for 3 years initially, to commence as soon as possible thereafter, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract, subject to satisfactory performance. Exceptionally outstanding candidates at Associate Professor level may be considered for appointment on tenure terms, subject to the University’s approval. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The successful candidate may also be invited to join the Centre for Advanced Semiconductors and Integrated Circuits, a newly established interdisciplinary research center at HKU that advances Hong Kong’s strategic development in microelectronics and semiconductor technologies. How to Apply The University only accepts online applications for these positions. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload the following documents: (i) a cover letter, (ii) an up-to-date C.V. (including a full list of publications), (iii) a teaching statement (maximum 2 pages), (iv) a research statement (maximum 2 pages) outlining current and future research plans, and (v) the contact information of at least three referees. Review of applications will start as soon as possible and continue until June 30, 2026 or until the post is filled, whichever is earlier. Only shortlisted candidates will be invited for an interview. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses.  The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Applied Research Fellowship aims to provide doctoral candidates who are about to complete or have recently completed their studies an opportunity to engage in advanced training and/or research at an overseas university for one year.  Besides financial support, awardees will also receive academic mentorship.  Upon completion of the Fellowship, awardees will be considered for Assistant Professorship. Eligibility and Selection Criteria Singapore citizen  Doctoral candidates who have recently completed or are about to complete their studies in a discipline under the supported areas for START below  Excellent academic record plus a high degree of proficiency and motivation for selected research area  Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area that is aligned with SIT’s supported areas  A keen interest in an academic career Value of Fellowship The Fellowship provides  Monthly stipend  Overseas maintenance allowance  Return economy airfare  Conference and fieldwork grants  Overseas medical insurance  Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered for the 2026 intake.   Interview by the respective clusters for shortlisted applicants will be conducted throughout the year.   Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026.   Awards will be finalised by July 2026. Supported Areas for START - Engineering   Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices.  Sustainable Infrastructure Engineering and Maintenance: Construction technology, Tunnel engineering, Integrated BIM for Civil and MEP design optimisation; Non-destructive testing and prognostic maintenance for infrastructure rejuvenation and life extension.  Sustainable Maritime Engineering: Ship design and optimisation towards maritime decarbonisation; maritime battery room design for safety; intelligent ship and operations; autonomous vessels and systems.

At the University of Vienna more than 10,000 personalities work together towards answering the big questions of the future. Around 7,500 of them do research and teaching, around 2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5037 We invite you to join the Operational Quantum Information Team (Dakić Group) to work on topics in quantum information theory and quantum technologies, with a special focus on optical quantum computing and machine learning with nonlinear mechanical systems. Your personal sphere of influence: As a university assistant (praedoc) in this 4-year position, you will be part of the Operational Quantum Information Team around Professor Borivoje Dakić. Our team is part of the Quantum Optics, Quantum Nanophysics, and Quantum Information group of the Faculty of Physics. We are a member of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence (quantA), advancing basic research in quantum sciences, aiming to expand the frontiers of knowledge and thus being the engine for future innovations. You will also benefit from being a fellow of the Vienna Doctoral School in Physics (VDSP), being part of a thriving community with more than 100 quantum scientists on premises and about 300 quantum researchers in Vienna. The Dakić group is an international team of young scientists (Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/. Your future tasks: You will actively participate in research, teaching and administration. This means: You are involved in a well-funded research project on the advertised research topics. You will present your research plan to the faculty and complete a dissertation agreement within 12–18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in time. We expect a large degree of independence paired with a high level of social awareness, as the goal will only be achieved in a team. You will contribute to teaching (lab courses, exercise classes) within the provisions of the collective bargaining agreement. You will fulfil some administrative tasks, contributing to the success and self-organization of the group in research, teaching and administration. You will continuously stay informed about the state of the art in your field. You will contribute to outreach by publications, conference presentations and public activities. This is part of your personality: We expect a strong candidate with the following requirements: You have completed your Master’s degree or Diploma in Physics, Mathematics, Computer Science or a closely related field, ideally with a strong focus on quantum computing and numerical simulations. Experience in data-reuploading quantum algorithms, optical quantum computing and quantum machine learning (highly desirable). Experience in machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators (highly desirable). Experience in programming skills (e.g. Python, Qiskit, MATLAB, C, numerical simulations). You have an excellent command of written and spoken English. What we offer: Inspiring working atmosphere: You are part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Potential for development: Success in life depends on what you make of it, but if you are ambitious and successful, there are plenty of opportunities to connect you to all relevant top research groups in the world in quantum information, quantum technologies and machine learning. Internal further training & coaching: The Vienna Doctoral School as well as the Department of Human Resources offer plenty of opportunities to grow your skills in over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.714,80 (full-time basis, 14x p.a.) increases if we can credit professional experience. 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. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please send us: Your scientific curriculum vitae. A statement on your research interests for the future (motivation letter), with particular emphasis on your experience in optical quantum computing and data-reuploading algorithms, and machine-learning schemes based on arrays of nonlinearly interacting mechanical oscillators. Contact information of two referees. Your Bachelor’s and Master‘s degree certificates and transcripts. If you have any content questions, please contact: Borivoje Dakic borivoje.dakic@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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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: 01/06/2026 (MM-DD-YYYY) Prae Doc