Yale University

Clinical Teaching Fellow - Environmental Law & Justice ClinicGeorgetown University: Law CenterLocation: Georgetown Law ClinicsOpen Date: Jan 12, 2026Deadline: Feb 20, 2026 at 11:59 PM Eastern TimeDescriptionCLINICAL TEACHING FELLOWSHIP (2026 - 2028)Description of the Clinic Georgetown's Environmental Law & Justice Clinic (the "ELJC") conducts public interest legal work on behalf of underserved clients in the areas of environmental protection and justice, pollution control, climate change, and natural resources. The Clinic is an immersive and multi-modal experience, exposing students to the broad range of work in which environmental attorneys engage. We teach students key lawyering and advocacy skills through work on live cases that are excellent learning vehicles. Our case load involves a mix of regulatory work, litigation-related matters, and other advisory projects. The ELJC advocates on behalf of groups ranging in size from small community groups and neighborhoods to Indigenous Communities, to environmental or public justice organizations.The students work in the Clinic nearly full time and receive 10 academic credits for their project work and for their participation in the Environmental Law & Justice Clinic Seminar four hours a week. The students work on projects under the supervision of a Clinical Teaching Fellow/Supervising Attorney and faculty member. Our Clinic seminars address various substantive fields of law such as administrative practice and environmental justice, lawyering skills (including client-facing, internal collaboration, and external advocacy-related skills), topics on professional responsibility, and also consist of team project presentations regarding issues that have arisen in a representation and moots of client meetings.Description of The Fellowship The two-year Fellowship is an ideal position for an environmental and/or environmental justice lawyer interested in transitioning into legal academia and developing teaching and supervisory abilities in a setting that emphasizes a dual commitment-clinical education of law students and law employed in the public interest. The Fellow will have several areas of responsibility, with an increasing role as the Fellowship progresses. Over the course of the Fellowship, the Fellow will: Supervise students' day-to-day clinical projects, working closely with the students on improving their lawyering skills, especially legal research, writing, and analysis. Much of the supervising attorney's time is spent: guiding students in conducting legal and factual research; reviewing student drafts; offering suggestions for improvement as well as highlighting what students have done well and should replicate; and preparing the students for oral presentations. Fellows are expected to give and receive formal and informal feedback in timely, constructive, respectful ways; Take responsibility for their own case load as necessary; Share responsibility for designing and teaching seminar sessions; Take an active role in project/case development and assist with administrative and case handling responsibilities of the Clinic; Participate in a clinical pedagogy seminar and other activities designed to support an interest in clinical teaching and legal education. This Fellowship offers an opportunity to work on critically important, often cutting-edge matters. Fellows also participate in a clinical pedagogy seminar and other activities designed to support an interest in clinical teaching and legal education. Fellows get first-hand experience in teaching, clinical supervision, and deep knowledge of pedagogical philosophy and course design. Fellows can also receive substantial guidance on scholarly projects-including development, writing, and presentation of scholarship-and on entering the teaching market.Successful completion of the Fellowship results in the award of an L.L.M. in Advocacy from Georgetown University. The Fellowship start date is July 1, 2026-August 1, 2026 and the Fellowship is for two years, ending June 30-July 31, 2028.Fellows receive an annual stipend of $70,000 the first year and $75,000 the second year plus an opportunity to participate in group health insurance and other benefits, and all tuition and fees in the LL.M. program. As full-time students, Fellows qualify for deferment of their student loans. In addition, Fellows may be eligible for loan repayment assistance from their law schools. QualificationsApplicants must have: at least three years of post-J.D. work experience in domestic environmental law and/or environmental justice; exceptional legal research, writing and communications skills; commitment to creating a supportive, hospitable learning environment and commitment to exhibiting emotional intelligence. Experience with litigation is valuable but not necessary, as is experience in helping others improve their legal writing, research, and analytical skills. Applicants must be admitted or be able to be admitted to the D.C. Bar within 6 months of entering the Fellowship.Application InstructionsPlease submit a cover letter, resume/CV, official or unofficial law school transcript, and three references with contact information (we will only contact references following second-round interviews).Candidates selected for an interview will be asked to share a writing sample that is no longer than 10 pages and not significantly edited by someone else. Please address your letter of interest to Professor Sara Colangelo, Georgetown Law, 600 New Jersey Ave., NW, Washington, D.C. 20001, and submit application materials through Interfolio. Applications will be accepted and reviewed on a rolling basis through February 20th.For more information and to apply, visit https://apply.interfolio.com/180027GU 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-303f1579ce50784ba448b40566acc6a0

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

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.: 5008 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 simulation of light-driven chemical reactions at surfaces. By combining mixed quantum-classical dynamics methods with machine-learning surrogate models of energy landscapes and quantum mechanical operators, important photochemical reactions such as CO hydrogenation and hydrogen oxidation reactions will be studied. A key outcome of this project will be the design of nanostructured catalyst materials to provide optimal reaction selectivity and activity and improved understanding of energy conversion mechanisms based on electron-phonon coupling.  You will contribute to the development of new dynamics software and machine learning methods for the computational design of catalyst materials. 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 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 electronic structure theory and ultrafast quantum dynamics. 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, quantum 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) and simulation methods (e.g. molecular and quantum dynamics. Your scientific curriculum vitae. 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 a member of the Vienna Doctoral School in Physics, the faculty research group Computational Materials Physics, and the Centre of Excellence on Materials for Energy Conversion and Storage (MECS CoE). 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: 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