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Teaching Professor Strategy, Economics, and Public Policy
Georgetown University
United States, Washington
Georgetown University
United States, Washington
Teaching Professor Strategy, Economics, and Public PolicyGeorgetown University: Main Campus: McDonough School of Business: StrategyLocation: Main CampusOpen Date: Oct 20, 2025Deadline: Jan 31, 2026 at 11:59 PM Eastern TimeDescriptionThe McDonough School of Business at Georgetown University invites applications for a teaching professor position in Strategy and International Business. We welcome candidates from academia, business, and/or government. We especially encourage applicants who conduct research in competitive strategy, international business, or related fields, and who have either demonstrated or are capable of teaching excellence. An MS or MBA degree in management, strategy, or a related field is required; however, a Ph.D. in similar disciplines is preferred. The expected starting date of the appointment is August 2026.Candidates should expect to teach four to five semester-equivalent courses in strategy-related subjects at the undergraduate and master's levels. All teaching requirements will be determined by the chair of the Strategy, Economics, Ethics, and Public Policy area.ABOUT THE MCDONOUGH SCHOOL OF BUSINESSGeorgetown University's McDonough School of Business offers unparalleled access to the world's business, policy, and thought leaders. The school, which attracts faculty and students from around the world, is committed to building global business knowledge and inspiring ethical leaders to serve the common good. Known for its emphasis at the intersection of business and global affairs and its values-based approach to business as part of Georgetown's rich Catholic, Jesuit tradition, the school is also focused on how business can be a force for change by addressing fields of the future, such as healthcare, sustainability, and AI and the future of work. The school's undergraduate and graduate degree programs provide solid grounding in all the core management disciplines, with an emphasis on the global, ethical, and political environment of business. The McDonough School of Business has an ongoing commitment to being a community in diversity as a fundamental aspect of the Georgetown community.ABOUT THE STRATEGY, ECONOMICS, ETHICS, AND PUBLIC POLICY AREAThe SEEPP area includes individuals whose primary research and teaching interests lie in economics, international business, international political economy, and strategy. The area is collegial and multi-disciplinary, with several members crossing disciplinary boundaries in both research and teaching. More information can be found here.ABOUT GEORGETOWN UNIVERSITYGeorgetown University is one of the world's leading academic and research institutions, offering a unique educational experience that prepares the next generation of global citizens to lead and make a difference in the world. We are a vibrant community of exceptional students, faculty, alumni and professionals dedicated to real-world applications of our research, scholarship, faith and service.Established in 1789, Georgetown is the nation's oldest Catholic and Jesuit university. Drawing upon the 450-year-old legacy of Jesuit education, we provide students with a world-class learning experience focused on educating the whole person through exposure to different faiths, cultures, and beliefs. More information can be found here.APPLICATION PROCEDURETo apply, candidates should submit application materials through Interfolio. The application materials include a cover letter, a CV or resume, and a list of three references. Optionally, candidates can also provide a research paper, teaching evaluations, and letters of recommendation. The deadline for submission is January 31, 2026. We will consider applications and nominations on a rolling basis and conduct interviews virtually.The projected salary or hourly pay range for this position is $140,000-$170,000. Compensation is determined by a number of factors including, but not limited to, the candidate's individual qualifications, experience, education, skills, and certifications, as well as the University's business needs and external factors.Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex (including pregnancy, gender identity and expression, and sexual orientation), disability status, protected veteran status, or any other characteristic protected by law. If you are a qualified individual with a disability and need a reasonable accommodation for any part of the application and hiring process, please click here for more information, or contact the Office of Institutional Diversity, Equity & Affirmative Action (IDEAA) at (202) 687-4798. QualificationsApplication InstructionsFor more information and to apply, visit https://apply.interfolio.com/176190GU is an Equal Opportunity Employer. All qualified applicants are encouraged to apply, and will receive consideration for employment without regard to age, citizenship, color, disability, family responsibilities, gender identity and expression, genetic information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law.Copyright ©2025 Jobelephant.com Inc. All rights reserved.Posted by the FREE value-added recruitment advertising agency jeid-ec9cca722380ce4cb838feb4c4a0d52a
Salary
Competitive
Posted
14 Jan 2026
Professor / Associate Professor / Assistant Professor, Department of History
Lingnan University
Hong Kong, Tuen Mun
Lingnan University
Hong Kong, Tuen Mun
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: Professor / Associate Professor / Assistant Professor Department of History (Post Ref.: 25/231) The Department of History (https://www.ln.edu.hk/history/) invites applications for the position of Professor/Associate Professor/Assistant Professor of history specializing in Asia in global contexts. The Department has existing strength in Chinese history, Hong Kong history, public history, and global history, along with various subfields such as media, gender, animal, and environmental studies. General Requirements Applicants should hold a PhD in History or a closely related field. The successful candidate must demonstrate a strong commitment to research and teaching excellence, with an outstanding track record of scholarly publications in internationally leading peer-reviewed journals and major scholarly presses, as well as extensive experience in teaching and course development. The ability to contribute to the Department’s strategic areas—global Asia, public history, or/and digital history—is essential. Experience in digital humanities will be considered an advantage. The appointee is 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 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 appointee. Appointment will normally be made on an initial contract of three years, which, subject to review and mutual agreement, may lead to longer-term appointments with possibility of consideration for substantiation. Appointment with substantiation will be considered for the highly qualified candidate. Application Procedure (online application only) Please click "Apply Now" to submit your application. Please submit a cover letter, CV, and at least one writing sample as part of your dossier in the online application system. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for 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 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
Competitive
Posted
14 Jan 2026
Lecturer in the Centre for Civil Society and Governance
The University of Hong Kong
Hong Kong
The University of Hong Kong
Hong Kong
Ref.: 534167 Work type: Full-time Department: Centre for Civil Society and Governance (30101) Categories: Teaching Staff Lecturer in the Centre for Civil Society and Governance (Ref.: 534167), to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree preferably in a Social Sciences, Business Management or related disciplines. They should have at least a combination of 5 years of professional, teaching and/or research experience, in Corporate Sustainability, Value Chain Management, Sustainability-related Disclosure or Circular Economy. Preference will be given to those who are accredited professionals with Environment, Social and Governance (ESG) reporting related accreditations. These may include, but not limited to, Global Reporting Initiative (GRI) Professional Certification, Sustainability and Climate Risk (SCR) Certificate, European Federation of Financial Analysts Societies (EFFAS). Experience in teaching programme development and management will be an advantage. The appointee will contribute to the overall teaching and action research effectiveness in a wide spectrum of sustainability-related activities at the Centre, and be responsible for curriculum planning and development, validation and accreditation of new and/or existing programmes, and teaching at both undergraduate and postgraduate levels. He/She will also support the work of the Academy for Sustainable Communities established under the Centre and perform other teaching and research-related duties as assigned by the Director. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At the current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV together with a research statement, a teaching statement, a writing sample. Review of applications will start as soon as possible and continue until February 15, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency.
Salary
Competitive salary
Posted
15 Jan 2026
AI & Image Analysis Specialist
University of Helsinki
Finland, Helsingfors (Helsinki)
University of Helsinki
Finland, Helsingfors (Helsinki)
The Institute for Molecular Medicine Finland (FIMM) is currently seeking an AI & Image analysis specialist (2-year position) Location: Helsinki, Finland Project: KUDOS Cellular Twins Do you have an innovative mindset, enjoy exploring new ideas, and are you motivated by work that can lead to both scientific breakthroughs and real-world impact? Our team is looking for an AI/ML expert with experience in biological microscopy image analysis and a strong interest in applying ML to cancer related challenges. This is a 2-year fixed-term position (starting as soon as possible) within the KUDOS Research-to-Business (R2B) team. The role is part of an innovation-driven project with high commercialization potential and offers the opportunity to contribute to technologies that may evolve into a future startup or spin-out. Our work focuses on developing advanced, data driven solutions to improve understanding, prediction, and treatment response in pediatric cancers, with broader applicability to adult cancers and other diseases. Key responsibilities Design and build AI-based image analysis pipelines for multi-omics prediction tasks. Integrate molecular and imaging data to develop and expand the KUDOS multimodal data library Apply diverse data science and machine learning methodologies, including the development of novel analytical approaches. Work and communicate efficiently in a highly interdisciplinary environment that bridges the university and health care sectors, bringing together scientists, machine learning experts, and clinicians. Essential skills and qualifications Master’s or doctoral degree (or equivalent experience) in mathematics, computer science, engineering, statistics, biology, medicine, or a related field. Experienced applicants with a bachelor's degree or similar can also be considered. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning, including large language models, foundation models, multimodal learning, or agentic frameworks, to automate processes or enable new solutions—ideally within healthcare or pharmaceutical research, will be considered an asset. Excellent oral and written communication skills in English; Finnish skills will be considered an asset but are not required Desirable skills and experience Communication skills with a multidisciplinary team A curious mindset, team-working and problem-solving skills Experience in life sciences, healthcare, or pharmaceutical research Familiarity with multimodal data integration (imaging, molecular, clinical data) Additional skills related to the team’s future strategy, such as software development Interest in translational research, innovation, and entrepreneurship What we offer Great team! A collaborative and supportive interdisciplinary team and steering group The opportunity to work on technology with potential to significantly impact pediatric cancer research and treatment, with wider relevance to adult cancers A role at the interface of research, innovation, and early-stage commercialization A chance to help shape solutions that may grow beyond the project into a future startup or spin-out The salary will be based on level 9 of the job requirement scheme for other personnel in the salary system of Finnish universities (YPJ), corresponding typically to approximately 3,600–3,900 euros per month. The position will initially be filled until the end of 2027. A six-month trial period will be applied. To apply, please submit the application together with your CV and a cover letter highlighting your relevant experience through the University of Helsinki electronic recruitment system by clicking on Apply for job. Internal applicants (i.e., current employees of the University of Helsinki) please submit your applications through the SAP HR portal. Applications are welcomed as soon as possible - the call will be open until 2nd of February, 2026, and may be extended until the hiring decision is made. For further information please contact Team AI lead Lassi Paavolainen (lassi.paavolainen@helsinki.fi), or project coordinator Minttu Polso or project PI Vilja Pietiäinen. The Institute for Molecular Medicine Finland (FIMM) is an international research unit focusing on human genomics and personalised medicine at the Helsinki Institute of Life Science (HiLIFE) of the University of Helsinki - a leading Nordic university with a strong commitment to life science research. As part of Academic Medical Center Helsinki in Meilahti campus FIMM collaborates locally with the Faculty of Medicine, Helsinki University Hospital and National Institute for Health and Welfare. FIMM is part of the Nordic EMBL Partnership for Molecular Medicine, composed of the European Molecular Biology Laboratory (EMBL) and the centres for molecular medicine in Norway, Sweden and Denmark, and the EU-LIFE Community. Helsinki Institute of Life Science (HiLIFE) is an institute established in 2017 that supports high quality life science research across the University campuses and faculties. HiLIFE builds on existing strengths and new recruits and partnerships to create an attractive international environment for researchers to solve grand challenges in health, food, and environment. HiLIFE coordinates research infrastructures in life sciences and provides research-based interdisciplinary training. The University of Helsinki, founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic community of 40,000 students and staff members. The University of Helsinki offers comprehensive services to its employees, including occupational health care and health insurance, sports facilities, and professional development opportunities. The International Staff Services office assists employees from abroad with their transition to work and life in Finland. Finland is a member of the EU, has high quality free schooling (also in English), generous family benefits and healthcare, and was recently ranked as the best country in the world for expat families and in the world’s top ten most livable cities. Finland and the Helsinki region possess top expertise in sciences in terms of a vibrant talent pool, leading research, strong support services and functioning collaboration networks. For more information about working at the University of Helsinki and living in Finland, please see helsinki.fi/en/university/working-at-the-university. A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers
Salary
3,600–3,900 euros per month
Posted
14 Jan 2026
University Assistant Predoctoral, Physics
University of Vienna
Austria, Vienna Danubepier Hov
University of Vienna
Austria, Vienna Danubepier Hov
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 51 Faculty of Physics Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2029 Reference no.: 5031 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! About the team: This is an opportunity to work towards a PhD in physics and to conduct world-leading research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization and sustainable energy production at a global scale within the coming decades. They all fundamentally involve energy transfer and chemical dynamics at interfaces where molecules, electrons, and light interact to deliver a certain function. The underlying mechanisms of ultrafast dynamics at surfaces triggered by light or electrons are not well understood, which, for example, limits our ability to design photocatalyst materials that deliver optimal light absorption, catalytic activity, and energy transport. Molecular simulation methods and quantum theoretical calculations in principle can address this but have hitherto struggled with tackling such challenging systems. With the emergence of machine learning methods in the physical sciences, things are rapidly changing. This project is part of a large initiative that aims to tackle this ambitious challenge by developing and applying new software tools that combine machine learning methodology, electronic structure theory, and molecular dynamics methodology to simulate ultrafast chemical dynamics at surfaces and in materials. Your personal sphere of influence: As a university assistant (praedoc), you will be part of the Computational Materials Discovery group of Professor Reinhard Maurer. This project will focus on the development of novel machine learning representations of electronic structure and quantum operators. These surrogate models will be combined with mixed quantum-classical dynamics simulation approaches to perform chemical dynamics simulations at an unprecedented scale. You will contribute to the development of broadly applicable electronic structure methods, new software, and machine learning methods with the specific goal to enable high throughput screening of optimal photocatalyst materials and to reveal important mechanistic insights into ultrafast dynamics and measurable spectroscopic properties. This will be done in close collaboration with a broad network of international collaborators. 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 non-extension declaration.With appropriate work progress, an extension to a total maximum of 4 years is possible. Your future tasks: You will actively participate in research, teaching & administration. This means: You are involved in a curiosity-driven research project in the field of machine learning in computational materials science. 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 (exercise classes) within the provisions of the collective bargaining agreement. You will fill some administrative tasks, contributing to the success and self-organization of the group for 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. Candidate profile: You have completed your Master's degree or Diploma in physics. You have experience in academic writing. You have an interest and background in condensed matter theory and electronic structure theory. You have an excellent command of written and spoken English. You should have experience with programming (e.g. Python, Julia), simulation methods (e.g. molecular dynamics) and modern machine learning methods. What we offer: In the Maurer group, we aim to develop computational simulation methodology to study quantum phenomena at surfaces with applications ranging from photocatalysis to nanotechnology and electrochemistry. Our goal is to combine electronic structure theory, molecular and quantum dynamics methodology, and machine learning methods to achieve an accurate yet computationally feasible description of complex phenomena in materials and at solid/gas and solid/liquid interfaces. You will join a large, international and interdisciplinary research group that provides a collaborative and supportive environment. Our team is member of the Vienna Doctoral School in Physics and the faculty research group Computational Materials Physics. PhD students in the group acquire important transferable skills such as software development and project management. You will present your research at international and national conferences. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Potential for development: Success in life depends on what you make of it, but if you are ambitious and self-driven, there are plenty of opportunities to connect you to all relevant top research groups in the world. Good public transport connection: Your new workplace is easily accessible by public transport. 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 3.776,10 (on a full-time basis, 14x p.a.) increases if we can credit professional experience. Equal opportunities for everyone: We strive to create a fair and equitable work environment, where diversity is an asset and individuals can flourish. It is that easy to apply: Your scientific curriculum vitae. A summary of your previous academic and research achievements. Tell us about your moments of professional pride. A short statement on your research interests for the future (motivation letter). Tell us what you dream about, scientifically. Your Bachelor’s and Master's degree: an excellent academic degree is a good entrance statement for this position. Note, that while a Master’s degree is the usual legal prerequisite for a PhD position at the University of Vienna, we can consider Bachelors (preferentially with Honors) in exceptional cases, too. If you have any content questions, please contact: Reinhard Maurer reinhard.maurer@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: 01/30/2026 Prae Doc
Salary
The basic salary of EUR 3.776,10 (on a full-time basis, 14x p.a.)
Posted
14 Jan 2026