University of Dallas

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Research Assistant Professor Office of the Faculty of Business (Post Ref.: 25/296) The Faculty of Business (https://www.ln.edu.hk/fb/) at Lingnan University has been accredited by the Association to Advanced Collegiate Schools of Business (AACSB International). The Faculty plays an important role in educating students about cutting-edge, practical knowledge and skills, improving students' academic and professional capabilities, as well as enhancing students' awareness on social responsibilities. Furthermore, we have been devoting every effort to the sustainable development of Lingnan University in the academic community and the substantive realization of our values and mission in the Hong Kong society and the world. The appointee is expected to (a) conduct independent and collaborative research; (b) teach multiple subjects in both undergraduate-level and postgraduate-level programmes of the Faculty. The appointee will work for the Office of the Faculty of Business and Hong Kong Institute of Business Studies, and may be required to undertake certain administrative duties as required by supervisor(s). General Requirements Applicants should hold a PhD degree or an equivalent qualification in management science, operation research or other relevant fields for no more than five years prior to the commencement of the appointment. Applicants should have a strong track record in research evidenced by quality research output in line with international standards. He/she should have strong commitment to research and have an excellent command of English and Chinese (including Mandarin). The appointees are expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointee. Appointment will be normally made on an initial contract for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants should provide a CV and information about their work experience, qualifications, research interests and achievements. A statement of their publications and of any works in progress currently under review are required. Applicants shall also provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will begin in January 2026 until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Salary Package: $112,550 (Level A.6) per annum, plus 17% employer's superannuation and annual leave loading. Appointment Type: Full-time, fixed-term appointment for 2 years, with a possibility of further renewal subject to funding Location: Macquarie University, Wallumattagal Campus, North Ryde The Role: An exciting opportunity exists for a talented and motivated researcher to join Macquarie University's School of Engineering and contribute to the project "Energy on Wheels: A New Approach to the Smart Grid with Electric Vehicles," a project funded by the Australian Research Council (ARC). You will develop a new model of electrical energy distribution, including renewable energy generation and electric vehicles. It will be used to optimize network resources across the grid, matched to energy supply and user demands. The project will include optimization and probabilistic analysis under practical engineering constraints. You will develop new tools for network optimization and performance analysis of a distributed smart grid with electric vehicles and renewable energy generation. You will collaborate with Profs Stephen Hanly, Iain Collings, Graham Town and Dr Hazer Inaltekin. There is a research plan that will guide the research but there is considerable scope for you to take a leadership role. There will be opportunities for supervision of postgraduate students as well. Selection Criteria To be considered for this position you need to provide a cover letter responding to the selection criteria below. Essential Criteria: A PhD in a field relevant to the research project A quality research record as evidenced by research publications in high quality international journals and conferences Strong mathematical and analytical skills, with a track record using applied probability and/or optimization in research work Experience with software packages such as Matlab/Python Strong interpersonal, written and verbal communication skills Commitment to collaborative research and teamwork The following qualifications are desirable, but are not essential for appointment: Desirable Criteria: Knowledge of electrical energy networks and/or electric vehicle charging Knowledge of stochastic networks Experience with PowerFactory Demonstrated ability to manage time effectively and the ability to work to deadlines Demonstrated ability to work effectively as part of a team Commitment and ability to work with graduate and research students How To Apply: please apply online and attach: a CV including a list of research publications a cover letter addressing the selection criteria contact details for two references Applications Close: Tuesday 30th of June at 11:59pm (AEST). We welcome international applicants. A criminal/police history check is required for this role. We reserve the right to progress or decline an application prior to the application closing date. Enquiries: Prof Stephen Hanly at stephen.hanly@mq.edu.au Pre-Employment Checks Macquarie University cultivates a workplace defined by safety, ethical conduct, and strong integrity. Prior to completion of an offer of employment, preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for. Your employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University. A Place Where You Belong At Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work. We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community. Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework. Flexible Work At Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage our personal commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, explore our Candidate Resource Hub.

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an Senior Scientist 50 Faculty of Life Sciences Startdate: 01.07.2026 | Working hours: 40 Reference no.: 5692 Modern analytical technologies based on mass spectrometry for the analysis of small molecules have become essential in life sciences. Are you looking for an opportunity to apply your skills in mass spectrometry in a multidisciplinary and dynamic research environment? We invite you to apply for this position as a senior scientist for small-molecule mass spectrometry at the Faculty of Life Sciences, University of Vienna. This is a fixed-term position providing maternity leave cover. Your personal sphere of play: Situated at the Universitäszentrum Althanstraße (UZA II), you will operate at the intersection of pharmaceutical sciences, nutritional sciences and biology. As a Senior Scientist in our Facility for small-molecule mass spectrometry, you are the primary piont of contact for research groups seeking to integrate high-end MS analysis into their projects. You manage a diverse portfolio of a application in both targeted and non-targeted workflows, with particular emphasis on the characterization of multi-compound mixtures, specifically those plant, microbial, fungal and marine origin, as well as the analysis of large-scale human studies. Further applications include purity analysis, accurate quantification of compounds in biological samples, determining the accurate mass of synthesis products and metabolites, and structure elucidation. Your future tasks: Active participation in research, teaching & administration, which means: You will work in a laboratory equipped with state-of-the-art mass spectrometry instrumentation (including low and high-resolution MS) located at the Department of Pharmaceutical Sciences. You will organize analytical workflows, perform analytical measurements and analyze complex MS data to deliver high-quality results for research projects, project proposals and publications. You will interact with various research groups to discuss their questions and implement dedicated MS strategies. You will monitor the performance of MS instruments, perform routine maintenance and coordinate technical repairs. You will follow relevant literature and new analytical developments, and exchange expertise with other MS facilities (e.g. for proteomics) to enhance faculty-wide research capabilities. This is part of your personality: Open, collaborative and curious personality. Pro-active approach and highly motivated attitude. Ability to work independently, self-management skills and highly organized style of work and documentation, Excellent communication skills for interacting with a diverse, multidisciplinary research community and technical experts. Education an training: Doctorate in (analytical, bio-)chemistry, pharmacy, system biology or related fields. Hands-on experience with mass spectrometry systems (GC- or LC-MS, LC-MS preferred) for small-molecule analysis (low- or high-resolution MS). Technical knowledge for MS instrumentation and practical experience with routine maintenance of LC and/or MS systems. Experience with method development for sample preparation, chromatographic separation techniques (liquid- or gas chromatography), and MS. Detailed knowledge of the analytical process and critical aspects for analytical quality in small-molecule analysis. Experience with one or more MS data analysis software packages (e.g. mzmine, xcms, msDial, vendor packages) and common data analysis workflows in life science application and/or system biology (feature finding ion annatation, basic statistical analysis). Data management- and basic programming skills are highly desirable. Experience with data visualization and biological interpredation of small-molecule MS data (e.g. metabolomics data sets) is highly desirable, e.g. molecular networking and/or chemometric approaches. Fluent in Englisch (in speech and writing). German language skills are desirable. What we offer: International and dynamic research environment at the Faculty of Life Sciences. You are part of the team at the Department of Pharmaceutical Sciences and enjoy excellent support by laboratory- and administrative staff. The opportunity to contribute to high-impact research across multiple life science domains. Opportunity to engage with the local analytical community within and beyond University of Vienna, participation in local scientific meetings. Work-life-balance: Flexible working hours, intermittent remote work is possible. Internal further education programs to strengthen research- and lesdership skills. This is a fixed-term maternity cover role (1 July 2026 to 20 November 2026); it may subsequently be extended for the duration of the employee’s parental leave. Salary: € 5.014,30 gross starting salary (40 h basis, 14 times annually). It is that easy to apply: Academic curriculum vitae, including a list of publications, analytical technologies used, teaching and talks. Letter of motivation including a description of research interests and the specific interst in the advertised position. Contact details of people who could provide a letter of reference. Certificate for the highest awarded academic degree. If you have any content questions, please contact: Karin Ortmayr karin.ortmayr@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: 06/08/2026 (Senior) Lecturer & Researcher