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Teaching ProfessorGeorgetown University: Main Campus: McDonough School of Business: Operations and Information ManagementLocation: Main CampusOpen Date: Dec 04, 2025Deadline: DescriptionThe McDonough School of Business (MSB) at Georgetown University invites applications for a full-time, 12-month Non-Tenure Line (NTL) Teaching Professor in the Operations and Analytics (OPAN) area. The appointment is expected to begin at the start of the Fall 2026 semester.This position covers 15-credits of teaching courses with emphasis on business analytics, statistics, management science, and data science in multiple programs across the MSB including the undergraduate, the Masters of Business Administration, the Master of Science in Business Analytics (Full-time and Online), and other specialized master's programs.In addition to teaching, the successful candidate is expected to collaborate with faculty to make continuous improvements to the curriculum and courses, and to advise students and engage with student leadership. Candidates are also expected to participate in some service or committee assignments similar to other full-time teaching faculty in the school.Candidates should hold a master's degree (a Ph.D. is preferred) from an analytics or business-related discipline. We are seeking dynamic candidates with demonstrated ability to successfully teach courses in the statistics, machine learning, and analytics space with relevant professional experience in the business analytics field who could also successfully advise student capstone projects in analytics. 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 also is 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.APPLICATION PROCEDUREAll applications should be submitted electronically through Interfolio. Interested applicants should provide a cover letter, curriculum vitae, a complete set of teaching evaluations from recent years, and the names and contact information of three references.Consideration will begin January 15, 2026, but applications are welcome until the position is filled.The projected base salary range for this position is $145,000 - $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. QualificationsApplication InstructionsFor more information and to apply, visit https://apply.interfolio.com/178858GU 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-fa793868db871b47b0a041bc6c87c0a5

Location Docklands Campus Salary £53,040 to £60,752 per annum, inclusive of London Weighting Post Type Full Time Post Type Fixed Term Contract Length 6 months Closing Date Monday 26 January 2026 Interview Date To be confirmed Reference 2588-25-PS-R University of East London We’re the University of East London (UEL) founded in 1898 and proud to change lives through education. Our goal is to advance industry 5.0 careers-first education and provide a clear path to the jobs and opportunities of the future. We’re committed to driving diversity in the 5.0 talent pipeline, working in partnership to promote talent wherever it is found and creating a balanced, inclusive, and green future. But we can't achieve this goal alone. We need forward-thinking, innovative, and curious individuals like you to join our community and help us craft our future. As part of our team, you'll have the opportunity to work with a diverse range of people who share your passion for creating positive change. We’re an inclusive and welcoming community that is constantly moving forward, never satisfied with the status quo. About the School / Service: People and Culture The People & Culture directorate (approx. 40 staff) is organised across five distinct core functions, aligned to the delivery of our People Strategy - Talent Acquisition, Employee Experience & Development, Operations, Systems & Services, Employee Relations & Policy and Health, Safety & Wellbeing. The People & Culture directorate is responsible, in partnership with stakeholders across the organisation, for delivering the University of East London’s People strategy, in furtherance of the UELs strategic progress outlined in our Vision 2028 strategy. It is focused on the delivery customer-centric and operationally excellent services to create an environment where people are attracted to work at UEL, to be supported to develop and grow, and deliver their best work in a high-performing and supportive environment. About the Job As HR Systems and Payroll Analyst, you’ll be a key contributor to the design, implementation, maintenance and continuous improvement of system and process solutions as well as improving data integrity through operational reporting. You’ll be an expert in MHR iTrent, in particular the Payroll module and Business Objects and will have at least intermediate SQL understanding. You’ll focus on improvements in our Payroll system set up and delivery, as well as supporting reward activities more generally. With a monthly payroll of c2000 staff you’ll provide advice and guidance on the best practice use of our HR System and identify solutions to any problems that arise. You'll also be adept at Business Objects reporting to support data validation processes to maintain data quality and integrity. About You To succeed, you’ll need a proven relevant background with iTrent experience, an expert understanding of transactional HR and Payroll processes, strong analytical and business process knowledge and excellent attention to detail. You’ll also need a demonstrable ability to work cross functionally/divisionally with other staff and deliver on continuous improvement projects within an agreed timeframe and be used to working without close supervision.  Benefits Package At UEL, we believe that a great role is about more than just a salary. It’s about the complete package, including our outstanding work environment and inclusive culture. We offer a genuinely competitive salary, dependent on experience (DOE), and a range of excellent benefits. You can explore our full benefits package here: https://uel.ac.uk/benefits-professional-services-positions How to Apply Please apply by submitting your CV and a covering letter (maximum of 2 sides of A4) explaining why you're interested and clearly demonstrating how your skills and experience are relevant for this role, alongside your online application. Please note that applications submitted without a covering letter will not be considered. Equal Opportunities As an inclusive, equal-opportunities employer, our Stonewall membership and Athena Swan awards reflect our ongoing dedication to Equality, Diversity and Inclusion and we’re committed to closing the" diversity pay gap". We’re proud of the progress we’ve made and honest that there’s more to do. We’re determined to keep moving forward so everyone at UEL can thrive. We're also a disability confident employer and value all applications. Please let us know if you require any reasonable accommodations throughout the recruitment process. So, if you’d like to take your career to the next level with us here at the University of East London and are inspired by our environment and committed to success, we want you to apply today! Please note that this advert may close earlier than the stated deadline if we receive a high volume of applications. We encourage you to submit your application as soon as possible. Further Details Job Description & Person Specification To contact the recruitment team please phone +44 20 8223 3000 x 4600 or e-mail jobs@uel.ac.uk CVs without a completed application form will not be accepted. At UEL we are committed to working together to build a community which values diversity in both our staff and student populations, is representative and inclusive, enabling all to progress and thrive.

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