Government College Women University, Sialkot

At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a ...  Senior Scientist in Numerical Astrophysics for Planetary and Stellar Astrophysics 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 2026-05-01T00:00:00Z | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5473 The position is part of the Solar System Evolution group led by Ass.-Prof. Kristina Kislyakova. The main research direction of this group consists of unraveling the evolutionary pathways of the Solar System bodies, in particular Earth, Venus, and Mars, and determining the place of the Solar System within the larger family of exoplanets. Your working place: The Department of Astrophysics with currently around 90 members is part of the Faculty of Earth Sciences, Geography and Astronomy at the University of Vienna. We are searching for a Senior Scientist to contribute to the development of numerical codes used by the Solar System Evolution group and other groups at the department. Our ideal candidate has a scientific background in stellar and planetary astrophysics and a strong background in computational astrophysics. The job consists of two equally important parts: 1) to contribute to the research in the area of atmospheric evolution and 2) to take the lead in developing and supporting computational tools for our studies, such as finding the best solvers that can be used in the codes used by the Solar System Evolution and other groups at the department. The position is initially limited to 3 years with possibility to become permanent by mutual agreement. The starting date is as early as May 1st, 2026, but no later than August 1st, 2026. Your future tasks: Active participation in research, teaching & administration, which means: You build an excellent research profile in the field of planetary and stellar astrophysics, and Solar System research. You lead and participate in scientific publications in peer-reviewed journals and presentations at international meetings. You take the lead in the application of new computational tools, such as solvers, to the existing codes used by the group such as the hydrodynamic atmospheric codes for planetary and stellar atmospheres and particles codes. You contribute software expertise to other computational astrophysical groups. You (co-)supervise Bachelor, Master, and Doctoral students in Astronomy. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching as well as evaluation procedures. This is part of your profile You must have: A completed doctoral/PhD degree in astronomy/astrophysics A versatile research profile with works from different areas of astrophysics (e.g., stellar astrophysics, planetary science) Research competence and initiative proven through international publications in peer-relevant media Excellent abilities to work in a team and excellent communication skills in English Previously acquired third-party funding  Additionally: Supervision and teaching experience is an advantage Good organisational skills are desirable Presentation experience in an international setting is a benefit A proven track record in scientific programming in software development teams with applications to various scientific tasks is an advantage Visible scientific track record (invited talks, panel participation) is a strong asset. What we offer: Inspiring working atmosphere: You will have the opportunity to work within a dedicated team on forefront science, while profiting from the international environment in the Department of Astrophysics. We have privileged access to the Austrian Scientific Computing (ASC) super-computing facility. As a member state of ESO and ESA, Austria has access to their first-class observing facilities. Good public transport connections: Your working place, the University Observatory, is located in the middle of the natural monument Observatory Park in the lively city of Vienna with outstanding public transport. Work-life balance: Our employees enjoy flexible working hours. Upon agreement, hybrid working hours within Austria might be possible up to a certain extent. 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: A basic gross salary of EUR 5,014,30 (on a 40h/week basis) per month, 14 times a year, amount as of 1 January 2026, increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: Please prepare your application as a single PDF file which includes: A motivation letter / letter of intent Your CV with a list of publications and presentations A statement of research interests (maximum of 3 pages) Doctoral/PhD degree Contact details of three persons who can provide a letter of recommendation Please apply via our job portal / Apply now button If you have any questions, please contact: Kristina Kislyakova kristina.kislyakova@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: 05/03/2026 (Senior) Lecturer & Researcher

This is an exciting time to join the University of Southampton, a global top-100 university with a reputation for delivering world-class education and research that addresses some of society’s most pressing challenges. We are seeking a Research Fellow in Molecular Dynamics and Computational Chemistry to join the School of Electronics and Computer Science (ECS) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between biomolecules, materials, and catalytic systems. The postholder will develop and apply advanced simulation techniques, analyse molecular simulation data, and contribute to collaborative research combining computational modelling with experimental studies. You will also contribute to research publications, collaborative research projects, and the development of future research proposals within a multidisciplinary research environment spanning engineering, materials science, and microbiology. About you You will hold a PhD in Computational Chemistry, Chemical Physics, Materials Science, Biophysics, Computational Biology, Biomedical Engineering, or a closely related discipline (or equivalent professional experience). You will have experience in molecular dynamics simulations of biomolecular or materials systems, using simulation platforms such as GROMACS, NAMD, AMBER, LAMMPS, or similar tools. Experience in one or more of the following areas would be advantageous: Biomolecular modelling or enzyme catalysis Metal–biomolecule or catalytic system simulations Quantum mechanical methods (e.g., DFT or QM/MM) Enhanced sampling or free-energy calculations Programming or scripting for computational research (e.g., Python, MATLAB, Bash) You will be motivated to work in a multidisciplinary research environment, collaborating with experimental scientists and computational researchers to develop innovative computational approaches that support interdisciplinary research. What we can offer you We offer some fantastic benefits including generous annual leave (plus an additional 6 University closure days and bank holidays), a company pension scheme, discounted private healthcare and dental, company sick pay, flexible working options, and excellent family leave arrangements. You will benefit from access to the University’s excellent research infrastructure, training and development opportunities, and a vibrant interdisciplinary research environment. Southampton is a dynamic coastal city with excellent transport connections and offers a fantastic place to live, work and collaborate. Equality, diversity and inclusion We are proactive in fostering a culture of inclusion, respect and equality of opportunity. We select candidates based on merit and ability and aspire to thrive in the diversity of our workforce.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) 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: Associate Professor/Assistant Professor Division of Artificial Intelligence (Post Ref.: 25/72) The Division is looking for an experienced Associate Professor/Assistant Professor who will (1) conduct high-quality research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing on industrial data sciences, blockchain, data sciences, artificial intelligence, etc.; (4) work on the promotions and admissions as well as the operations for undergraduate and postgraduate programmes, and (5) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in a relevant data science, computer science, artificial intelligence, information engineering, or other relevant areas; (ii) a strong publication record and outstanding citation counts in the research areas; (iii) experience in applying external grants and teaching relevant courses and relevant programme administrative experience will be advantages; (iv) good command of English and Chinese (including Mandarin). For the post of Associate Professor, six years of relevant experience in the tenure-track academic post should be required. The candidates with less experience will be considered as Assistant Professor. Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity and incoming passage and baggage allowance for the eligible appointees. Appointments will normally be made on a fixed-term contract of up to three years. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointment with possibility of consideration for substantiation. 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 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 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 posts advertised, or to fill the posts by invitation or by search. We regret that only shortlisted candidates will be notified.