University of Technology Sarawak

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 posts: Part-time Lecturer Centre for English and Additional Languages (Post Ref.: 25/305) The Centre for English and Additional Languages (CEAL) offers a range of core and elective courses in addition to co-curricular language activities in order to enhance English language proficiency and critical thinking of students, as well as to provide language support to help students succeed in their academic studies. The Centre is looking for part-time Academic English Language Lecturers to teach Academic English language courses at the undergraduate level. Applicants should have: (i) experience in teaching English at the university level (preferably to students in Hong Kong); (ii) at least a master's degree in English Language and Literature or a relevant field (PhD preferred); (iii) an English language teaching certificate (preferred); (iv) preferred expertise and interests include: delivering a foundational core course that strengthens students’ English proficiency and the academic skills needed for success in an English-medium university; delivering a course that develops written synthesis of academic sources, critical evaluation of arguments, seminar discussion and debating skills, as well as creative and reflective practices essential at the tertiary level. Appointment The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Appointments will be normally made on contract basis. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicant's 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 commence as soon as possible and continue until the posts are 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.

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 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 52 Faculty of Chemistry Startdate: 07.01.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: permanent Reference no.: 4926 Among the many reasons to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space for continuous striving afor top international research and scientific excellence. Explore and teach at the University of Vienna, where 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: As a university assistant Prae Doc, you will complete the research team around Prof. Annette Rompel, at the Department of Biophysical Chemistry at the Faculty of Chemistry. The focus of our research is purification,expession and characterisation of a metalloprotein. 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 up to a total of 4 years is possible. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of biophysical chemistry. We expect you to finalize your dissertation agreement within 12-18 months. You work on your dissertation and its completion. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching. This is part of your personality: Completed Master's degree or Diploma, in the field of chemistry Basic experience in academic writing and with research methods Didactic competences / experience with e-learning Excellent command of written and spoken English and German(B2 Level) IT user skills: MS Office You should be a team player with high social skills What we offer: Work-life balance: Our employees enjoy flexible and family-friendly 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 in the center of beautiful Vienna 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 3.714,80 (on a full-time basis) increases if we can credit professional experience. 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 up to a total of 4 years is possible.  Equal opportunities for all: We look forward to diverse personalities in the team!  It is that easy to apply: With your scientific curriculum vitae / letter of intent With your summary of research interests for a prospective doctoral project proposal Master Degree / Diploma Via our job portal/ Apply now - button If you have any questions, please contact: Annette Rompel annette.rompel@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: 01/08/2026  Prae Doc

Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The School of Chemical Engineering (CHEM School) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Department of Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Surface Structures The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro at the Department of Chemistry and Materials Science, Aalto University, is hiring a Doctoral Researcher. In this position, you will work on a project funded by the Research Council of Finland to build a machine learning tool for predicting the atomic structure of surfaces. You will work under the supervision of the project leader, Academy Research Fellow Dr. Ondřej Krejčí, and collaborate with international experts in materials and surface science. Together, you will help advance this key scientific discipline, which directly impacts such important technological and societal topics as semiconductor devices and heterogeneous catalysis for green fuel production. You will be fully integrated within the DAS group, a vibrant and diverse research environment whose core expertise is the development of machine-learning-infused atomistic modeling techniques beyond the state of the art and their application to study important problems in chemistry, physics and materials science. The group has access to state-of-the-art supercomputing facilities (like LUMI) and is very well integrated within the scientific community internationally. More about our activities: https://miguelcaro.org. The position is fully funded. Informal inquiries about the position can be directed to Ondřej Krejčí (ondrej.krejci@aalto.fi). Please, read the description below in full before directly contacting us by email. Your role and goals You will develop data-driven and machine learning workflows for predicting how atoms rearrange on the surface of materials such as metal oxides and semiconductors. Knowledge of the precise atomic structure is important for understanding and predicting electronic and catalytic properties and thus to engineer the material surfaces better for their technological usage.  For training the machine learning models, you will generate datasets from electronic structure theory calculations. You will manage large-scale simulations run on world-class supercomputing facilities alongside AI algorithms and data analytics tools. You will also discuss tool development with AI and machine learning experts at Aalto University and share your results with experimental collaborators. The position is part of the Research Council of Finland project Towards Realistic Surface Structures (https://research.fi/en/results/funding/86328). A secondment to the group of Prof. Gareth Parkinson at the Technical University of Vienna is planned. In combination with the academic development courses at Aalto University, we will help you grow a competitive and international career profile. Your experience and ambitions We welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven materials science and machine learning in atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, machine learning and a broad understanding of surface and material science. We further appreciate willingness to travel, teach and mentor, collaborate and communicate science. To succeed in this role, you should have: A Master’s degree (or equivalent*) in Chemistry, Physics, Materials Science, Mathematics, Computer Science, or a related field. (*You are required to have a degree that would allow you to enroll for a PhD program in the granting institution, e.g., a 1st hons BSc in the UK is also eligible.) Prior programming experience, especially with Python. While you are not expected to be an expert programmer, some hands-on experience in programming is mandatory. Note that it will be entirely possible to develop more advanced programming skills during the doctoral studies. A strong interest in atomistic simulations, machine learning, and scientific method and software development. Proficiency in English (written and spoken). (Preferred) Experience with any of the following: Electronic structure software (e.g., VASP, GPAW, FHI-aims). Molecular dynamics packages (e.g., LAMMPS, GROMACS). Machine learning interatomic potentials (e.g., GAP, MACE, ACE). Machine learning libraries and frameworks such as Scikit-learn, TensorFlow, or PyTorch. If you have experience with other types of modeling tools (e.g., FEM), please state it in your cover letter. Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Chemical Engineering as specified at Aalto Doctoral Programme in Chemical Engineering | Aalto University. If you feel you are interested and qualified for the position but are concerned about not fulfilling all the criteria, still feel free to apply. Take a look at this article in Forbes. What we offer  Aalto’s Department of Chemistry and Materials Science is a leading research environment in Finland for computational chemistry and materials science, with four groups specializing in different branches (Soft Materials Modelling, Computational Chemistry, Inorganic Materials Modelling, and Data-driven Atomistic Simulation). The fixed term contract is initially for 2 years with a possible 2-year extension after passing the midterm review. During the first 6 months you must apply and receive a right to study in the doctoral programme. Aalto University follows the salary system of Finnish universities. The starting salary for Doctoral Researchers is 3075 € / month (gross). The contract includes Aalto University occupational healthcare benefits. The position will be filled as soon as a suitable candidate is identified. The starting date for the position is in the Spring 2026, but the exact date can be agreed with the selected candidate. The primary workplace will be the Otaniemi Campus at Aalto University. Ready to apply? To apply for the position, please submit your application no later than 8.1.2026 including the attachments mentioned below as one single PDF document in English through the link ’Apply now’ link at the bottom of the web page. Please note: Aalto University’s employees should apply for the position via our internal HR system Workday (Internal Jobs) by using their existing Workday user account (not via the external webpage for open positions). If you are a student or visitor at Aalto University, please apply with your personal email address (not aalto.fi) via Aalto University open positions. Letter of motivation (max 1 page): Include your name and email. Briefly motivate your interest in the position and explain how/to what extent you fulfill the requirements. Briefly mention any prior research experience you may have. Please, do not use ChatGPT or similar tools to prepare your cover letter for you. CV including list of publications (max 2 pages): personal and academic information, list of skills, projects, etc. Lying on your CV is immediate grounds for disqualification. If you are invited for an interview, you will be asked about information provided here. If you are eventually offered the position, you will be asked for a transcript of academic records. Contact details of at least two referees (or letters of recommendation, if already available) Applications sent via email will not be considered; only submissions through the online recruitment system are accepted.  Questions about the vacancy may be directed via email to Dr. Ondřej Krejčí (firstname.lastname(a)aalto.fi). About Finland Finland is a great place for living with or without family – it is a safe, politically stable and well-organized Nordic society. Finland is consistently ranked high in quality of life and was just listed again as the happiest country in the world: https://worldhappiness.report/news/its-a-three-peat-finland-keeps-top-spot-as-happiest-country-in-world/. For more information about living in Finland: https://www.aalto.fi/services/about-finland More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.