Jamia Hamdard University

(Ref. No.: FAH/DPT/HOD/06/2026) The University of Macau (UM) is an internationalized research-oriented comprehensive public university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 145 in the THE World University Rankings and placed No. 285 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. In addition, UM is currently establishing a campus in the Guangdong-Macao In-Depth Cooperation Zone in Hengqin, which is expected to be operational in 2028. With unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the primary medium of instruction at UM. The Faculty of Arts and Humanities invites applications for the position of Head of Department of Portuguese (at the rank of Full/Associate Professor). The Department of Portuguese is an established and lively scholarly community. The Department offers an undergraduate degree in Portuguese Studies concentrating on Portuguese with selected courses in Language, Linguistics, Literature, Culture, History and Translation. At the undergraduate level, the Department also teaches Portuguese language within the Faculty of Law and offers elective courses in Portuguese as a foreign language to students from all faculties of the University. At the postgraduate level, the Department offers two Master programmes (i) Portuguese Language and Intercultural Studies; (ii) Translation Studies (Portuguese-Chinese), as well as one PhD programme covering various areas of Portuguese Studies. Qualifications The successful applicant will possess: A PhD in any area of Portuguese Studies: Linguistics, Literature, Culture, Translation or Language Teaching, or related areas; Demonstrable competence in departmental management, planning, and communication, along with the ability to provide leadership within the Department; An outstanding track record of internationally recognized research and scholarship; Experience and success in supervising postgraduate students and a proven track record of excellence in teaching; Native or near-native fluency in Portuguese and the experience in teaching the above-mentioned subjects; A good command of English; knowledge of Chinese is an advantage. The selected candidate is expected to assume duty in 2027. Remuneration A taxable annual remuneration starting from MOP1,052,800 (approximately USD129,980) will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/. Application Procedure Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application. Human Resources Section, Office of Administration University of Macau, Av. da Universidade, Taipa, Macau, China Website: https://career.admo.um.edu.mo/; Email: vacancy@um.edu.mo Tel: +853 8822 8699; Fax: +853 8822 2412 The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances. ***Personal data provided by applicants will be kept confidential and used for recruitment purpose only*** ** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**

 Join a team shaping the future of Australian manufacturing  Full-time, fixed-term (until 30 June 2027) position at our Hawthorn campus Academic Level A salary + 17% super and staff benefits  An exciting opportunity exists for a Research Associate to join the ARC Research Hub for Future Digital Manufacturing and contribute to industry-funded research delivering real-world impact. Working closely with researchers, engineers and industry partners, you will develop innovative software solutions that leverage Context Awareness, Internet of Things (IoT), Applied Artificial Intelligence (AI) and advanced data integration technologies to improve manufacturing productivity and decision-making. This role will focus on ARC Digital Manufacturing Hub with Sutton Tools, which aims to develop a "Single Source of Truth" knowledgebase to enable data-driven productivity improvements. About the Role As a Research Associate, you will contribute to the research, design, development and evaluation of advanced software-based solutions in areas including:  Context-aware systems  Internet of Things (IoT)  Applied Artificial Intelligence (AI)  Large-scale distributed systems  Knowledge management and data integration platforms  Digital manufacturing technologies  You will work closely with industry partners to understand business challenges and translate these into practical technical solutions. Success in this role will be measured primarily through project outcomes, industry impact and delivery of research milestones, with publication opportunities encouraged. Key responsibilities include:  Conducting research, development and evaluation of advanced software-based solutions.  Delivering project milestones and outcomes for the Sutton Tools collaboration.  Designing and implementing large-scale distributed and context-aware systems.  Integrating data from multiple heterogeneous sources and platforms.  Working closely with industry partners to understand business challenges and translate them into technical solutions.  Contributing to future research and industry funding proposals.  Collaborating within multidisciplinary teams of researchers, engineers and industry experts.  While research publications are encouraged, performance will primarily be measured through successful project delivery and industry impact.  Please note that due to the fixed-term nature of this role, candidates must already hold valid working rights for the duration of the contract to be considered. About You You are a motivated researcher and software developer who enjoys solving complex real-world challenges and working directly with industry partners. You will have:  Strong programming skills in one or more of the following: Python, Java, C/C++, .NET, JavaScript/React, R, Ruby, Perl or Bash.  Experience in software systems design and development of robust, scalable solutions.  Experience developing distributed, context-aware or data integration systems.  Knowledge of IoT and Applied AI technologies, including machine learning and large language models.  Strong communication, stakeholder engagement and teamwork skills.  Excellent organisational skills and the ability to work independently.  Desirable  Experience working with manufacturing or industrial systems.  Experience in manufacturing data analytics.  Qualifications A Master's degree, or a Bachelor's degree with Honours and at least three years' relevant research experience. About the ARC Research Hub for Future Digital Manufacturing The ARC Research Hub for Future Digital Manufacturing brings together leading universities and industry partners to develop next-generation digital manufacturing technologies, including AI, digital twins and intelligent platforms that enhance productivity, quality and sustainability across Australian manufacturing. Based at Swinburne University's Hawthorn campus, this role offers opportunities for flexible working arrangements and collaboration with industry partners and researchers across Australia. Join us and contribute to research that delivers meaningful outcomes for industry while helping drive the future of digital manufacturing. About Swinburne University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of Entrepreneurship. We are committed to a differentiated university proposition in education and research.  Our Ad Astra strategy is the cornerstone of Swinburne’s bold ambition to lead globally in technology-driven education and research. This strategy positions us to create transformative solutions, empower learners, and partner with industry to thrive in an ever-changing world. What We Offer You!  Work your way with flexible working arrangements, including hybrid options and generous parental leave to support a balanced lifestyle. Exclusive staff discounts, including discounted Medibank health insurance, 50% off Swinburne courses and other partner offers.  Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions.  Want to learn more? Head over to our benefits page! To Apply Please submit your CV and cover letter addressing the Key Selection Criteria and your suitability for this position. To review the Position Description and to apply, please scroll down to the bottom of the page. If you are viewing this advert from an external site, please click ‘apply’ and you will be redirected to Swinburne’s Jobs website to access the Position Description at the bottom of the page. Please Note: Appointment to this position is subject to passing a Working with Children Check. If you are experiencing technical difficulties with your application, please contact the Talent Acquisition team at talentacquisition@swin.edu.au Applications Close: Sunday 21 June, at 11.00pm Swinburne offers flexible working options contained in our leave and parenting/carer policies to support work-life balance. Diversity, Equity and Inclusion Swinburne has become a world-class university, driving social and economic impacts through science, technology, and innovation. As a dual-sector university, our vision is for people and technology working together to build a better world. Central to our vision is our commitment to diversity, equity, and inclusion. We pride ourselves on being an equal opportunity employer focused on attracting, retaining, and developing great talent. We work to remove barriers related to gender identity, culture, ethnicity, sexual orientation, disability, and age. We strongly encourage applicants from diverse Aboriginal and Torres Strait Islander communities. Our Moondani Toombadool Centre leads our Indigenous education and culture at Swinburne, guided by community wisdom and leadership. We support applicants with disabilities, and reasonable adjustments can be requested at any stage of the recruitment process. For reasonable adjustment requests - including accessible formats of the position description, application form, or other documents, please contact talentacquisition@swin.edu.au or call +61 3 9214 3550. Please note: this phone number is for disability and reasonable adjustment enquiries only. General enquiries about the role can also be emailed to talentacquisition@swin.edu.au. Victoria’s Commitment to Action: Improving international student employment outcomes.  As a signatory to Victoria’s Commitment to Action, Swinburne seeks to remove barriers to international graduate employment. We welcome and encourage applications from international graduates. As a Circle Back Initiative Employer, we commit to responding to every applicant. #LI-SW Please click here for Position Description How to apply: Start your application by clicking the "begin" button. 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Briefing: This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and data applications. Disciplines： Computer Science and Technology Cyberspace Security Data Science and Big Data Technology Data Computation and Applications Data Science Artificial Intelligence Major Responsibilities The successful candidates will be expected to: Deliver exceptional education, both independently or collaboratively, for undergraduate and postgraduate courses; Achieve international recognition and demonstrate leadership in their respective fields through outstanding research; Contribute to administrative tasks, ensuring efficient operations and supporting the advancement of the university's mission (applicable to senior faculty); Proactively secure external funding for research projects, promoting technological innovation; Provide exemplary supervision for student projects, internships, and theses, guiding them towards academic excellence. Qualifications Applicants should hold a doctoral degree in the relevant field. A strong track record in independent research, teaching, student supervision, and service is highly desirable. Candidates who have recently obtained their PhD with exceptional achievements may also be considered. For the positions of Chair Professor, Professor, and Associate Professor, applicants should: Demonstrate a record of world-class academic accomplishments and reputable international academic leadership; Possess extensive experience in teaching, student supervision, and securing research project funding; Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas; Commit to delivering high-quality teaching and supervision to a diverse student population at both undergraduate and postgraduate levels. For the Assistant Professor position, applicants should: Demonstrate strong potential in research and teaching that aligns with the University's strategic research areas. Compensation and Benefits We offer a highly competitive package, including excellent fringe benefits and research support: Competitive remuneration and attractive fringe benefits; Start-up research funding; Access to top-quality research equipment and support; Various government-sponsored talent programmes (for eligible candidates); Abundant local industry resources for collaborative horizontal projects. Application Requirements To apply for the faculty positions at CityUHK(DG), please ensure that your application includes the following documents: A cover letter introducing yourself and expressing your motivation for joining CityUHK(Dongguan). Please highlight your qualifications, relevant experiences, and how you envision contributing to CityUHK(Dongguan) academic community; A comprehensive resume, which should include a full publication list showcasing your academic achievements and contributions; Research statement outlining your vision and goals for your future research endeavors within the University; Teaching statement outlining your vision and goals for your future teaching endeavors within the University; PDF files of three representative publications demonstrating the quality and impact of your scholarly work; The names and contact information of at least 3 references; Any additional supporting documents or evidence of your research, teaching, or leadership accomplishments that you believe will strengthen your application. Application Review and Contact Information Review of applications will commence promptly and continue on an ongoing basis until all positions are successfully filled. To apply, please send your application materials with the email subject line titled "Your name+Position you apply for+Field" to college@cityu-dg.edu.cn. (e.g. Applicant's Name + Assistant Professor＋ Intelligent Manufacturing and Systems Engineering) Kind reminder: To ensure your application is processed successfully, please make sure to include the required subject line in your email. For more information, please visit the University website below： https://www.cityu-dg.edu.cn/en/academic-positions