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Dreaming of studying AI in sunny Miami? This is your chance! Join our exciting webinar with the University of Miami and discover how you can dive into the world of Artificial Intelligence while living in one of the most vibrant cities in the U.S. Date: April 7 Time: 4:30 PM Guest speaker: Emily Mayfield, Senior Assistant Director, University of Miami – Office of Undergraduate Admission Learn about programs, opportunities, and what it’s like to study AI in Miami Get insider tips and have your questions answered LIVE Save your spot now: https://forms.gle/2XwHAXVuP5RZpqYbA or https://apply.miami.edu/register/EdUSAMostarSpring26 Don’t miss out—your future in AI starts here! UMiami admission on Instagram is @umadmission

The South East Europe Observatory has officially launched the Liberal Dialogues project, a series of lectures by academics and public intellectuals from across South East Europe. The SEE Observatory was created through a partnership between the Fondazione Luigi Einaudi and MIB Trieste School of Management, with the support of the Open Society Foundation Western Balkans and Generali Italia. Upcoming Events The kick-off conference took place at the beginning of March in Trieste. The next event, “Liberal economic traditions and gender”, will be held in Ljubljana on 31 March, featuring Alessandro De Nicola, Serena Sileoni, Oto Luthar, Matjaz Nemec and Jerneja Jug. After that follow: Belgrade, Serbia — 14 April Podgorica, Montenegro — 5 May Tirana, Albania — 19 May Everyone interested can register for the lectures on Eventbrite via www.seeobservatory.eu, and join either online or in person. Scholarships and Prizes Within the framework of the Liberal Dialogues Project, the Observatory provides four scholarships. All those who attend the four debates (online or in person) and register on Eventbrite are eligible to compete. Register here: www.seeobservatory.eu The awards include: One full scholarship worth 28.000,00€ covering tuition for the 37th edition of the MBA in International Business at MIB Trieste School of Management (September 2026 – September 2027), an AMBA‑accredited international master’s program. The call for applications is open to candidates holding a bachelor’s degree (preferably in economics, STEM, international relations, political and social sciences, or law), with at least three years of professional experience and a good knowledge of English. Applications must be submitted by 14 August 2026 via the online form available at www.mib.edu/mba. Three scholarships of 1.000,00€ each for the most deserving students. Authors of the most engaging report, selected by a three‑member scientific committee, will receive paid travel to Trieste to present their 2‑page thesis (to be submitted as a reflection of up to 5.000 characters on the theme “How to build the Europe I would like” and sent to info@seeobservatory.eu together with a short CV). Participation Requirements and Submission Attend all lectures and register on Eventbrite via www.seeobservatory.eu After the program, submit a reflection of up to 5.000 characters (including spaces) on the theme “How to build the Europe I would like” and send it to info@seeobservatory.eu together with a short CV. A scientific committee evaluates submissions. Winners are invited to present their works at the Annual Forum. Annual Forum The Annual Forum will be held on 15 September 2026 in Trieste. Winners will be invited to present their works at this Forum, and authors of the most compelling reports will have their travel to Trieste covered.

Host lab: LAMFA (CNRS UMR 7352), Université de Picardie Jules Verne Location: Campus Saint Leu, city center, Amiens, France Research area: Mathematics for the life sciences Goal: recruit a high-level mathematician for modeling or optimization tools applied to life sciences Possible topics: PDE analysis, numerical analysis, stochastic modeling, scientific computing, or data science. Integration in A3 team with possible interactions with SymPA team (dynamical systems and probability) Collaboration expected with UPJV and A2U partners in ecology, pharmacology, and medicine Target profile: ass. prof at or near HDR level (~PhD+7yr) Duration: 3 years CPJ contract. After 3 years: conversion to tenured full professor if HDR is obtained and contract conditions are met Funding: €200k ANR package + up to €100k from UPJV Application opening: around September 2026 (Galaxie) Position start: no later than January 2027 Scientific contact: Pr. Paul Vigneaux (paul.vigneaux@math.cnrs.fr) CPJ concept: temporary position leading to tenured full professor at the end of the 3 years contract. Faster route to professorship than the usual path. International candidates encouraged to apply. Fluency in French required for final professorship role.

We are calling for applications for a two-year postdoctoral position in Scientific Computing at Lund University's Centre for Mathematical Sciences. The envisioned research lies at the intersection of numerical analysis, uncertainty quantification, and scientific machine learning. It will primarily focus on probabilistic methods for data-driven model reduction, with an emphasis on maintaining physical consistency, numerical stability, and real-time data assimilation within reduced-order models. Primary application areas include computational physics and climate modeling. Teaching may also be part of the duties (maximum 20%). Please refer to the job application portal on Varbi (https://lu.varbi.com/en/what:job/jobID:910922/) for further descriptions and application guidelines. Interested candidates are welcome to contact Mengwu Guo (mengwu.guo@math.lu.se) and send an application through Varbi by April 24, 2026.

The Computational Illumination Optics group in the Department of Mathematics & Computer Science at Eindhoven University of Technology invites applications for a PhD position entitled: “Robust Multi-Criteria Optical Design under Uncertainty”. This project lies at the interface of numerical optimization, optical design, and uncertainty quantification. It focuses on the development of mathematical models and numerical algorithms that systematically incorporate uncertainties into the optical design process. The aim is to enable novel design strategies that are robust with respect to perturbations and capable of balancing multiple competing performance criteria. We are seeking applicants with a strong background in applied and numerical mathematics. Further information and the application link can be found here: https://www.tue.nl/en/working-at-tue/vacancy-overview/phd-position-robust-multi-criteria-optical-design-under-uncertainty The application deadline is April 4.

Our profile: The Chair of Analysis and its Applications at RWTH Aachen University conducts research and teaching in applied harmonic analysis, applied functional analysis, inverse problems, and the mathematical foundation of machine learning. Applications in the natural sciences and engineering are approached from both theoretical and computational perspectives. Your profile: A completed university degree (Master's or equivalent) in mathematics or a related field is required for employment. You have a solid foundation in one of the following areas: applied analysis, inverse problems, or machine learning, as well as programming skills (for example in Python). You are characterized by independence, initiative, and a structured approach to work, and you possess excellent communication and teamwork skills. Your duties and responsibilities: - Conducting mathematical research in one of the above-mentioned subfields. - Developing software packages to support the research project. - Publishing research results and presenting them at conferences - Contributing to teaching activities and, if required, supervising student assistants. What we offer: The successful candidate will be employed under a regular employment contract. The position is to be filled at the earliest possible date and offered for a fixed term of 2 years. Continued employment for at least one additional year as part of the doctoral program is planned. The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts). This is a full-time position. The successful candidate has the opportunity to pursue a doctoral degree in this position. The salary is based on the German public service salary scale (TV-L). The position corresponds to a pay grade of EG 13 TV-L. About us: RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. Employees who are covered by collective bargaining agreements and civil servants have access to an extensive range of further training courses and the opportunity to purchase a job ticket. RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason. As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application. You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union's General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung. Contact and application: Prof. Dr. Rima Alaifari Chair of Analysis and its Applications Email: alaifari@mathc.rwth-aachen.de and Dr. Sabine Simon Email: simon@mathc.rwth-aachen.de Application documents: Cover letter, CV, academic transcript, names of at least two references Application deadline: April 15, 2026

The Department of Mathematics at Stockholm University welcomes applications for two full-time PhD positions in Computational Mathematics. One of the two positions will be in Numerical Analysis and Scientific Computing. The PhD candidate will work on advanced computational methods for rational approximation, with a focus on the development, analysis, and implementation of numerically robust and efficient algorithms. Applications will involve surrogate modeling for PDEs (especially wave propagation and scattering), system identification and modeling of dynamical systems, and/or computational linear/nonlinear algebra tasks such as matrix approximation and nonlinear eigenvalue problems. Applicants should have a strong background in Numerical Analysis and Scientific Computing. Experience with programming (e.g., Python, Julia, or C/C++) is required. The position is for 5 years, including up to 20% teaching duties. The expected starting date is Fall 2026. Application deadline: 22 April 2026 More information and application form: https://su.varbi.com/en/what:job/jobID:913132 Any questions about the position can be addressed to: Davide Pradovera (davide.pradovera@math.su.se)

The Mathematics Münster Graduate School at the University of Münster (Germany) invites applications for doctoral research associates (PhD positions). We offer fully-funded doctoral positions (75% FTE, salary level TV-L E13) for three years in all research fields at Mathematics Münster. Benefit from the amenities of the Cluster of Excellence and the Mathematics Münster Graduate School, including funding for conference travel, summer schools, research stays abroad, and opportunities to co-organise academic events and participate in numerous networking opportunities. Funded by the German Research Foundation (DFG) either through the Cluster of Excellence Mathematics Münster, the Research Training Group "Rigorous Analysis of Complex Random Systems", or the University of Münster’s mathematical institutes. Supplement your doctoral position with the Ada Lovelace Fellowship and contribute to gender diversity in mathematics. The fellowship includes a 25% TV-L E13 add-on position (salary raise). Please note that fellowships must complement a doctoral position and may be combined with an application for a doctoral position at Mathematics Münster. Doctoral researchers accepted at Mathematics Münster (including those funded by scholarships) since the previous call for Ada Lovelace Fellowships are also eligible to apply. Application deadline: 15 April 2026. All information and the online application forms are available at: https://www.uni-muenster.de/MathematicsMuenster/careers/calls/index.shtml

University of Graz The Department of Mathematics and Scientific Computing is looking for a PostDoc Position in the field of applied mathematics (m/f/d) https://jobs.uni-graz.at/en/jobs/e3ce0887-9e18-afc1-d51a-68f096e4a08f • Application deadline: 10.04.2026 • Salary Category: B1 with PhD • Salary per Year (Full Time): € 69,060.59 • Employment Start: As soon as possible • Hours per week: 40 h/w • Duration of Contract: Temporary employment • Temporary Employment: 6 years Your Responsibilities • Independent research and publication activities in the field of applied mathematics • Participation in existing research projects and development of new research projects in the fields mathematical image processing, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution • Collaboration in interdisciplinary cooperation projects and third-party funded projects • Possibility to work on a habilitation project • Participation in the application process for third-party funded projects • Independent teaching of courses and conducting of examinations in the field of applied mathematics • Professional and organizational supervision of students of the department • Participation in organizational and administrative tasks as well as in evaluation measures Your Profile • Completed doctorate/PhD in a mathematical branch of study • Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences • Ability to integrate into the department’s research profile and to contribute to interdisciplinary cooperation projects • Independent working style in research, teaching and administration • Excellent knowledge of written and spoken English • Ability to teach in German (after a transition period of 2 years) • Capacity for teamwork, organizational talent and ability to communicate The following documents are required for an application: • Letter of motivation and academic CV We offer an annual gross salary of € 69,060.59 for a fulltime position. About us At the University of Graz, 4700 employees work together on future questions and solutions for the world of tomorrow. Our students and researchers face the great challenges of society and carry the knowledge out. We work for tomorrow. Become part of it! Contact For further information please contact Prof. Kristian Bredies ( kristian.bredies@uni-graz.at, ☏ +433163805170). Department Website The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. In the event of underrepresentation, women with equal qualifications are generally given priority for admission. Especially with regard to academic staff, we welcome applications from persons with disabilities who meet the requirements of the advertised position. Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position: https://jobs.uni-graz.at/en/jobs/e3ce0887-9e18-afc1-d51a-68f096e4a08f

About SUNY Polytechnic Institute: Company Description The Research Foundation for The State University of New York (RF) is the largest comprehensive university-connected research foundation in the country. Our mission is to provide talent, services, and technology that empower SUNY to research, innovate, and transfer discoveries that transform the world's knowledge economy. Our vision is to make SUNY the best place for faculty, students and staff to research, innovate, and solve the world's most pressing problems. The RF serves SUNY by providing essential administrative services that enable SUNY faculty to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social sciences. We work with the academic and business leadership of SUNY campuses to support research and discovery through the administration of sponsored projects and technology transfer and management of intellectual property for public benefit and economic growth. The RF is committed to diversity, inclusion and a working environment that enhances productivity, creates personal and professional opportunities, unleashes everyone's full potential and fuels innovation. We hold the organization and each other to the highest standards of integrity, accountability and ethical behavior. Visit www.rfsuny.org and connect with the us on Facebook, Twitter and LinkedIn. Learn about SUNY at www.suny.edu. Top 10 Reasons To Work at The Research Foundation for SUNY Job Description: Position Overview Job Title: Postdoctoral Associate Office/Location: SUNY Polytechnic Institute The Center for Safe and Secure AI Robotics is looking to hire a post-doctoral associate to carry out research in cutting-edge methods for the computational analysis of classical, multi-physics, engineered systems. The appointment is for one year, renewable for a second year given the availability of funds. The focus is on integrating state-of-the-art structure-preserving discretization algorithms (a refinement of finite-element analysis compatible with exact geometric, topological, and physical constraints) with artificial neural networks for achieving improved performance in tasks of systems analysis like parameter estimation, solving inverse problems, and uncertainty quantification. The successful candidate will join a multi-institution research team of faculty at SUNY Polytechnic Institute and the University of South Florida, consisting of mathematicians, physicists, computer scientists, and engineers investigating applications of deep learning to the efficient simulation of natural and engineered systems. The position is based in Utica, NY. The successful candidate will have a doctoral degree in applied mathematics, physics, electrical engineering, computer science, or a closely related field. Coding experience for the computational modeling of physical and/or engineered systems, preferably with finite-element methods, is a must. Strong programming skills, e.g. Python and/or a major language in the C family, are required. Familiarity and/or strong interest in mastering deep learning is essential. The position is based in Utica, NY. Job Responsibilities Work on research projects assigned by the PI and meet with the PI regularly and as needed. The duties include 1) Actively seeking, reading, and discussing the research literature relevant to the project or projects weekly; 2) identify and/or develop hypotheses and methods for advancing the research effort; 3) design and carry out computer experiments; 4) attend the meetings of the PIs research group and present status reports for the group, 5) write STEM papers for peer-reviewed journals and conference proceedings. Research projects initiated by the postdoc and approved by the PI. The successful applicant is welcome and encouraged to propose to the PI a project of their own for part-time research and development when the demands of other grant-funded projects allow for it. Work on writing grant proposals This position is contingent on the satisfactory completion of a background check; this position may require annual checks. Salary : $60,000 - $65,000 Requirements: Minimal Qualifications: Doctoral degree in applied mathematics, physics, electrical engineering, computer science, or related fields from college or University accredited by the US Department of Education or internationally recognized accrediting organization. Additional Information: Additional Information: Research Foundation for SUNY Polytechnic Institute offers exceptional benefits such as healthcare, dental, vision, pension plans, competitive pay, generous paid time off, tuition assistance, life insurance and long-term disability insurance. As an Equal Opportunity / Affirmative Action employer, Research Foundation for SUNY will not discriminate in its employment practices due to an applicant's race, creed, religion, color, citizenship, national origin, sex, age, sexual orientation, predisposing genetic characteristics, gender identification or expression, genetic information, familial status, marital status, pregnancy, status as a domestic violence victim, criminal conviction, disability, military status, disabled veteran, recently separated veteran, Armed Forces Service Medal veteran, active duty or wartime campaign badge veteran, or other characteristic as protected by law. Please feel free to review your equal employment opportunities protections and laws pertaining to these protections at http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Review of applications will begin immediately and continue until the position is filled. Research Foundation employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation at the time of hire for review by the Research Foundation. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486-1-border/@@images/file Application Instructions: Persons interested in the above position should submit a cover letter, CV including full list of publications in peer-reviewed journals, research statement, employment application. In compliance with the Americans with Disabilities Act (ADA), if you have a disability and require a reasonable accommodation to apply for a position, please email us at hr@sunypoly.edu. https://sunypoly.interviewexchange.com/jobofferdetails.jsp;jsessionid=F8F5C9251AC4C738015AABEFC5EF984F?JOBID=195136

Interested in studying in the U.S.? Curious about a more affordable path to a U.S. bachelor’s degree? Join our online webinar: An Accessible Path to a U.S. Bachelor Degree: 2+2 Programs March 26, 2026 (Thursday) 5:00 PM CET Online via Zoom in English language With Frank Jurkovic, Director of International Programs, St. Petersburg College, Florida Registration is required: https://forms.gle/QuEtGFcvYyfMRgCf8 This webinar is for high school students, parents, and English teachers.

The Department of Mathematics at KTH welcomes applications for a full-time PhD position in Numerical Methods for Functional Calculus. The position is financed by Kristin Kirchner's ERC Starting Grant FunCalc4Stats – Functional Calculus for Computational Statistics funded by the European Research Council. The PhD candidate will develop foundations for the numerical analysis of operator functions, such as computational methods for fractional powers of differential operators. A particular emphasis will be on the development, error analysis, and efficient implementation of finite element methods (FEM) for such problems. Applicants should have a strong background in Numerical Analysis (in particular, the Finite Element Method) or in Functional Analysis. The position is for a duration of 5 years, including 20% departmental duties, mainly teaching for basic level courses. The expected starting date is no later than Fall 2026. Application deadline: 30 April 2026. Further details and the online application form are available at: https://www.kth.se/lediga-jobb/904789?l=en Please forward the announcement to relevant candidates. Any questions about the position can be addressed to: Kristin Kirchner, krikir@kth.se

The Department of Mathematics at Emory University invites applications for a postdoctoral position in scientific machine learning and optimization, beginning August 1, 2026. The successful candidate will conduct research on efficient and scalable training algorithms for neural networks, with a particular emphasis on preconditioning methods for stochastic gradient descent. Applicants must have a Ph.D. in mathematics, applied mathematics, computer science, statistics, or a closely related field by the start date. A strong background in optimization and machine learning is required. Experience with PyTorch or JAX is preferred. The initial appointment is for two years, with the possibility of a third year, subject to satisfactory performance and funding availability. Applications should be submitted by email to yuanzhe.xi@emory.edu and should include: • Curriculum vitae • Research statement • Names of two references Review of applications will begin immediately and will continue until the position is filled. Emory University is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by state or federal law.

The Department of Mathematics and Statistics at the University of Konstanz, Germany, invites applications for a Full Professorship (W3) in “Computational Mathematics and Data Science”. We are looking for a person with an outstanding scientific track record and an internationally visible research profile in the field of computational mathematics and data science or related areas, such as data-driven models, data-supported and data-adaptive methods, and their theoretical foundations and algorithmic implementation (e.g., learning, calibration). The professorship shall play a central role for the planned “Mathematical Data Science” degree programme, its development and long-term management. Deadline for application is April 6, 2026. For more details, see the official announcement at: https://stellen.uni-konstanz.de/jobposting/83bb5f624e15b156c4d37e388589eb88d8e530290

We are recruiting two postdoctoral researchers (2 × 2-year appointments) at Eindhoven University of Technology (TU/e) within the Horizon Europe project SIMU-LINGUA, which develops scientific foundation models (SciFMs) for materials science. The project aims to advance AI for scientific discovery by combining large-scale scientific data, knowledge graphs, machine learning, and GPU/HPC computing. The positions are organized around two complementary research tracks: Track A — Scientific Data & Knowledge Graphs Development of scalable scientific data infrastructures, including materials ontologies, data ingestion and curation pipelines, and multi-modal knowledge graphs for training foundation models. Track B — GPU-Accelerated Scientific Foundation Models Design and training of large-scale machine learning models, including SciFM architectures, PyTorch GPU training pipelines, and distributed training on HPC systems. We welcome applicants with backgrounds in machine learning, data science, applied mathematics, scientific computing, computer science, or related fields, and experience with areas such as deep learning, scientific datasets, knowledge graphs, or GPU/distributed computing. Application deadline: 6 April 2026 More information and application details: https://www.tue.nl/en/working-at-tue/vacancy-overview/postdoc-2-x-2-year-appointments-scientific-foundation-models-for-materials-aihpc

Semester Fellowship “War and Conflict Dynamics in Eastern Europe” (September 2026 – February 2027) The University of Bern’s Eastern European Studies programme is offering a semester fellowship for the autumn semester 2026 in the field of “War and Conflict Dynamics in Eastern Europe”. The joint Eastern European Studies programme of the universities of Bern and Fribourg provides an interdisciplinary approach to history, politics, cultures, languages and societies of Eastern Europe and has a decidedly interdisciplinary focus on contemporary issues. Its focus on “War and Conflict Dynamics in Eastern Europe”, which is supported by the State Secretariat for Education, Research and Innovation (SERI), builds on this and aims to establish an international network of experts and promote research projects from and about the conflict regions of Eastern and South-Eastern Europe. It further promotes academic exchange and networking among young researchers in order to build expertise on topics related to conflict and conflict transformation research with a focus on Eastern, Central and South-Eastern Europe. This call for the semester fellowship (September 2026 to February 2027) is addressed to advanced researchers from a discipline in the humanities or social sciences who specialise in researching one or more conflict areas in Eastern and South-Eastern Europe and notably the former Soviet space. Applications from social anthropology, history, sociology, political science, cultural studies, as well as interdisciplinary projects are particularly welcome. Application requirements include an advanced university degree in one of the above-mentioned disciplines, an ongoing research project that makes a substantial contribution to a better understanding of conflicts in Eastern, East Central and South-Eastern Europe, experience in university teaching and a willingness to teach a one-semester course (2 hrs per week) at the University of Bern in the autumn semester of 2026, as well as very good English language skills. The semester fellowship provides remuneration in accordance with cantonal guidelines (University of Bern), a welcoming team and a vibrant community of researchers at the Eastern European Studies programme in Bern and Fribourg, support for networking within the faculty and the university, a professional workplace, use of infrastructure, and opportunities to participate in conferences and other events. Please send your application by email as a single PDF to Dr. Cécile Druey (cecile.druey@unibe.ch ) by 31 March 2026. Please include the following with your application: 1) CV including list of publications; 2) letter of motivation with details of your research area and teaching experience; 3) project outline for your current research project in the field of conflict studies (max. 3 pages); 4) copies of your university degree and doctoral degree certificates, as well as proof of English language proficiency; 5) a concept (max. 2 pages) for a one-semester course (2 hrs/week); 6) two references, including name, contact details and role in relation to the applicant; 7) optional: one published article or essay. Application until 31 March 2026 (by e-mail) and contact: Dr. Cécile Druey University of Bern, Eastern European Studies, History Department Länggassstrasse 49 3012 Bern, Switzerland cecile.druey@unibe.ch

Applications are invited for a postdoctoral position within the Department of Mathematics at the University of Houston in the group of Numerical Analysis and Scientific Computing. The successful candidate will work with Dr. Yunhui He, with a research focus on the development of efficient solution algorithms for linear and nonlinear problems. Duties will include development and analysis of algorithms and their implementation in a high-performance computing environment. The position has a flexible start date, with a latest start in September 1, 2026. The appointment is for a fixed term of one year and will not be renewed. Opportunities for teaching may be available, if desired by the successful candidate. A PhD degree with emphasis on applied mathematics or scientific computing is required, with a preference for experience in multigrid, computational PDEs, numerical linear algebra, and/or nonlinear solvers. Previous interdisciplinary project experience is a plus. Interested candidates should apply at: https://careers.uh.edu/jobs/post-doc-fellow-mathematics-houston-texas-united-states Review will begin immediately and continue until the position is filled. Inquiries about the position may be directed to Yunhui He (yhe43@central.uh.edu, https://www.math.uh.edu/~yhe43/)

The Faculty of Mathematics and Natural Sciences of Humboldt University of Berlin, Department of Mathematics, invites applications for a Full Professorship (W3) Numerical Analysis for Partial Differential Equations The objective of the professorship is to strengthen the Berlin Excellence Cluster MATH+ (https://mathplus.de/) in the field of Numerical Analysis, with a particular focus on simulation and optimization of PDE-based problems involving uncertainties or stochastic components. Application deadline is 2026, April 10. Further information, including details on how to apply, is available at the links below. German: https://www.hu-berlin.de/universitaet/arbeiten-an-der-hu/stellenangebote/details/w3-professur-fuer-numerische-analysis-partieller-differentialgleichungen-pr-002-26 English: https://www.hu-berlin.de/en/university/working-at-the-hu/jobs/details/w3-professur-fuer-numerische-analysis-partieller-differentialgleichungen-pr-002-26

Uppsala University, Faculty of Science and Technology Are you ready to contribute to the future of research and education? Uppsala University now welcomes the best talents in technology and science to a world-class innovative environment. Together, we will push the boundaries of science. Uppsala University is implementing an excellence initiative focused on recruiting assistant senior lecturers with the goal of recruiting the new leaders in our research. Do you want to work with research and teaching in mathematics or information technology, and be involved in conducting cutting-edge research in an international environment? The Department of Mathematics and the Department of Information Technology are looking for outstanding young researchers who can fit into one of our departments. At our workplace on the Ångström campus, there are many nationally and internationally leading research environments, in everything from experimental sciences to basic research. The Department of Information Technology and the Department of Mathematics at Uppsala University offer a combination of an international, interdisciplinary environment with strong research profiles. Our researchers work in all areas of mathematics and information technology, with everything from theory to applications. We are now looking for an assistant senior lecturer who wants to help develop/strengthen our research and education in mathematics or information technology. The position comes with a starter package for recruiting a doctoral student. The Department of Information Technology and the Department of Mathematics have leading positions in both research and education at all levels. The departments also actively pursue equal opportunities. The Department of Information Technology is currently Uppsala University's third largest department and has just over 350 employees, of which 120 are teachers and 120 are doctoral students. The department is responsible for courses within a number of different study programs at undergraduate and graduate levels. Approximately 5,000 undergraduate students take one or more courses at the department each year. The department has ten research programs: Artificial Intelligence, Image Analysis and Human-Computer Interaction, Cybersecurity, Computer Science, Computer Science Education, Computer Architecture and Communication, Computer Engineering, Numerical Analysis, Control Engineering and Applied Computational Science. The department runs a career program for the more than 20 assistant senior lecturers who work at the department. The Department of Mathematics conducts research and offers teaching at bachelor's and master's levels in mathematics, applied mathematics and statistics. The number of employees is 130, including 40 doctoral students. The department is responsible for courses in mathematics and mathematical statistics within a range of different study programmes at undergraduate and advanced levels: a number of different MSc and MSc programmes, teacher training programmes, bachelor's programmes in the faculty's areas and our own programmes – the bachelor's programme and master's programme in mathematics. The department's research in mathematics covers a wide range of subjects, divided into the research areas: Algebra, logic and representation theory, Analysis and partial differential equations, Dynamical systems and number theory, Geometry and physics, Probability theory and combinatorics, and Statistics, AI and data science. Read more about the research and education conducted at the Department of Information Technology and the Department of Mathematics on their respective websites. Institutional placement is determined in connection with appointment. Subject area The position includes advanced research in one of the departments' research programs/research areas and teaching in mathematics or information technology. The subject area is broad, and we are looking for strong researchers in everything from pure theoretical basic research to applied research. Both specializations within the respective subject and interdisciplinary research are of interest. We are particularly interested in candidates whose research areas strengthen or complement already existing research environments. Job duties : You will work with: Teaching. Teaching includes course responsibility, course administration and supervision of doctoral students. research. To actively apply for and receive external research grants. To build up one's own research group by defining and planning research activities within the scope of the employment's subject area. administration. Participate in the general academic work at the department. This includes sitting on committees, taking responsibility beyond one's own research and teaching assignments, participating in the evaluation and development of teaching and research tasks, solving tasks together with colleagues, and helping and giving feedback to colleagues. to stay up to date within your subject area and follow social developments that are important for your work at Uppsala University. When selecting qualified applicants, emphasis will be placed primarily on both scientific and pedagogical skills, with particular emphasis on scientific skills. In addition, administrative and management skills will be taken into account. Qualification requirements You should have: PhD in mathematics, within one of the research areas that are central to the Department of Information Technology, or another subject relevant to the position . Applicants will primarily be considered who have completed their PhD or have achieved equivalent competence no more than seven years before the application deadline. scientific proficiency in mathematics or information technology. When assessing scientific proficiency, scientific quality will be taken into account first and foremost. The scope of the research, primarily depth and breadth, will also be given importance. In addition to academic qualifications, research qualifications from other activities may also be taken into account, which include, for example, technological development and innovation capacity. have had your main employment and conducted your research activities outside Sweden for at least four years immediately prior to the application deadline. Shorter stays in Sweden totaling no more than twelve months may be accepted. ability to cooperate and otherwise meet the suitability requirements needed to perform the tasks well. pedagogical skills, where particular emphasis will be placed on teaching in the subject area relevant to the position, and on pedagogical quality. Scope, both breadth and depth, will also be given importance. In addition to academic qualifications, educational and teaching qualifications from other activities can also be taken into account, which include, for example, supervision, internal training or mentoring programs. The ability to link teaching to research is also included. have completed five weeks of higher education teaching training relevant to the activity, or be deemed to have equivalent knowledge. The higher education teaching training can be completed during the first two years of employment if there are special reasons. documented ability to teach in Swedish or English. documented competence and skill in productive research collaborations and in successfully leading projects. documented ability to obtain external research grants in competition. pedagogical skills and scientific competence that are relevant to the subject area of the position and the tasks included in the position. Desirable/meritorious in other respects It is an advantage if you have: Administrative skills. Ability to plan, organize and prioritize work and work in a structured manner with an awareness of quality and goals. Management skills. To develop, coordinate and manage operations and personnel. For more information about assessment and assessment criteria, see Uppsala University's employment regulations and the Faculty of Science and Technology's employment guidelines . All qualifications must be documented so that both quality and scope can be assessed. When the university hires new teachers, applicants will be selected who, after a qualitative overall assessment of competence and skills, are deemed to have the best conditions to carry out and develop current work tasks and contribute to the positive development of the operations. Application Parental leave, part-time work due to childcare, union duties, military service or similar are considered work experience and should be listed in the resume. Instructions for applying for employment Employment period The position as an assistant senior lecturer is limited to a maximum of six years and is intended to provide qualifications for a teaching position with higher qualification requirements. During the position, there is the opportunity to apply for promotion to senior lecturer. If the requirements are met and suitability is assessed, the employee is promoted to a permanent position as senior lecturer. About the position Fixed-term employment for a maximum of 6 years. The position is full-time. Access by agreement. Location: Uppsala Information about the position can be provided by: Robin Strand (+46184713469, robin.strand@it.uu.se ) or Georgios Dimitroglou Rizell (+46184713225, georgios.dimitroglou@math.uu.se ) Welcome with your application no later than March 20, 2026 , UFV-PA 2026/193. Uppsala University's career system, Tenure track, gives assistant senior lecturers the right to be considered for promotion to senior lecturer. The university offers support for scientific and pedagogical development, leadership development, and patent and innovation support, among other things. Uppsala University is a broad research university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Read more about our benefits and what it's like to work at Uppsala University https://uu.se/om-uu/jobba-hos-oss/ The employment may be subject to a security check. In the event of a security check, a prerequisite for employment is that the applicant is approved. We decline offers of recruitment and advertising assistance. Applications are accepted in Uppsala University's recruitment system. Union representatives: Saco-S - saco-s@uu.se, Seko - seko@uadm.uu.se, ST (OFR/S) - ofr@uu.se Employment type Fixed-term employment Scope of employment Full-time Access Access by arrangement Salary form Individual salary setting Number of vacant positions 1 Employment rate 100 City Uppsala County Uppsala County Country Sweden Reference number UFV-PA 2026/193 Published 2026-02-06 Application deadline 2026-03-20 https://uu.varbi.com/what:job/jobID:895804/

We would like to draw your attention to an open postdoctoral position at the University of Sydney to work at the interface between dynamical systems, optimal transport and machine learning working with Tiangang Cui and Georg Gottwald. To apply and find more information, go to (https://usyd.wd105.myworkdayjobs.com/en-US/USYD_EXTERNAL_CAREER_SITE/job/Postdoctoral-Research-Associate-in-Mathematics-and-Statistics_0146604-1). The position is for 2 years and the deadline for applications is Sunday March 29 2026 11:59 PM Sydney time.

A PhD Research Fellowship in Mathematics and Fluid Mechanics is available at the Department of Mathematics, University of Oslo, starting no later than October 1st, 2026. The position is for three years with the possibility of a fourth year that includes 25% of other career-promoting work, such as teaching, supervision, or research assistance, depending on the applicant's qualifications and the department's needs. The successful applicant will research ocean wave dynamics, focusing on predicting extreme events like freak waves, frequency downshift, and transverse modulations using stochastic mathematical models and computational methods for uncertainty quantification. Collaboration with the Hydrodynamical Laboratory for experimental data validation is expected. For further details: https://www.jobbnorge.no/en/available-jobs/job/294736/phd-research-fellow-in-mathematics-and-fluid-mechanics

We are looking for a talented, research-oriented PhD candidate to join the NWO-VIDI project "SPARGO: Exploring and Exploiting the Geometric Landscape of Infinite-Dimensional Sparse Optimization" at University of Twente. We offer a full-time position for four years in an active and stimulating research environment, bridging applied and pure mathematics. The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group Mathematics of Imaging and Artificial Intelligence (MIA) at the department of Applied Mathematics. For more information about the position and the application procedure, you are welcome to visit https://utwentecareers.nl/en/vacancies/2360/phd-position-in-optimisation-and-optimal-transport/ and contact Dr. Marcello Carioni (m.c.carioni@utwente.nl). For more information about the project you can additionally visit https://marcellocarioni.github.io/spargo/ Deadline: 25 March 2026.

At Data Science and Knowledge Discovery Department (DataSci) at Simula Metropolitan Center for Digital Engineering (Oslo, Norway), we are looking for a highly-motivated, self-driven and curious PhD student with a strong background in numerical linear algebra and machine learning. We work with unique data and research challenges provided by clinical partners. We are looking for a PhD student who will be part of an interdisciplinary and international research environment, and share our passion to develop impactful data science methods pushing the frontiers in multiple disciplines. The topic of the PhD research will lie at the intersection of multimodal learning, self-supervised learning, contrastive learning and (coupled) tensor decompositions. The project will focus on developing interpretable multimodal learning methods jointly analyzing data from abundant and scarce data modalities, exploring the nonlinearity-interpretability tradeoff. The deadline for applications: March 15, 2026 For more information, please see the job posting: https://www.simula.no/careers/job-openings/phd-position-in-multimodal-learning

The Department for Numerical Analysis and Scientific Computing at Simula Research Laboratory (Oslo, Norway) is seeking a PhD Candidate in Computational Mathematics and Scientific Computing. We offer an excellence-oriented, vibrant, and collaborative research environment. The position includes an inclusive international working atmosphere, generous support for travel and networking activities, and competitive benefits. More information and application: https://www.simula.no/careers/job-openings/phd-position-in-scientific-computing-next-generation-digital-twin-algorithms Key Dates: Application deadline: April 15, 2026 (evaluated on a rolling basis) Planned start date: August 1, 2026 (flexible) Note: We are primarily looking for a PhD Candidate. However, if you are interested in a Postdoctoral Fellowship and find that the job description matches your profile, please feel free to reach out. Contact: Chief Research Scientist Marie E. Rognes, PhD (meg@simula.no)

The Chair of Numerical Mathematics at TUM CIT is offering a Doctoral Researcher or Postdoctoral Position in Numerical Analysis, including teaching activities (5 SWS), with a strong connection to PDEs (numerics / analysis / modeling) (100%, TV-L). The position, in the group of Prof. Dr. Barbara Wohlmuth, is a project-independent household position. It offers the opportunity to pursue project-independent research in one of the group’s numerous research areas, with a focus on Applied Mathematics, Numerical Simulation, and various interdisciplinary projects. The position is initially limited to two years, with the possibility of extension. Position and Research Overview: The group’s interdisciplinary focus includes not only classical topics in numerical analysis, such as the analysis of nonlinear PDEs or the development of new solver- or coupling-methods including their convergence analysis, but also modeling and simulation aspects across a wide range of fields - from biomechanics and geophysics to polymer-fluid coupling. Further areas of interest include numerical algorithms for high-dimensional problems, classical (mainly finite elements, FEM) as well as alternative discretization methods (e.g. Lattice Boltzmann, LBM), and HPC. A selection of possible research areas can be found on our website: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new math. (PDE-)models for application-specific phenomena from, e.g. the natural and engineering sciences Strong interdisciplinary exchange with the applied sciences, e.g. for model validation or extensions Math. derivation, analysis, and comparison of numerical methods and simulation approaches for PDEs Formal proofs, e.g. for convergence, existence, and uniqueness of solutions Fast prototyping of new ideas in individual code as well as implementation into already existing frameworks, with a focus on efficiency Design and realization of relevant simulation pipelines: from real-world data to math. and (e.g. clinically) applicable results Publication of results in scientific outlets (journals, conference papers, lecture contributions, etc.) Active participation in various teaching activities and academic self-governance, e.g. through organization of lectures, conduction of exercise- groups and seminars to the co-supervision of Bachelor’s and Master’s theses, all in German and English language Requirements: Master’s or PhD degree with above-average results in Applied Mathematics (analysis, numerics, modeling) or in a comparable program with a strong math. focus and knowledge in functional analysis and the theory and numerics of PDEs. Strong skills in math. modeling with PDEs. Advanced knowledge in numerics and simulation, particularly for PDEs and especially with FEM. Strong programming skills and experience in e.g. C/C++, FORTRAN, Python, Julia or MATLAB A team-oriented, conscientious, and organized work approach Enthusiasm, both for interdisciplinary projects as well as diverse teaching formats Optional (helpful for certain topics): experience with LBM and their implementation, HPC experience, methods of Uncertainty Quantification What we offer: A dedicated, interdisciplanary international team, with collaboration opportunities with international partners A young and motivated research environment at an internationally renowned university with strong connections to leading research institutes and industry partners A diverse range of activities in exciting, forward-looking, and varied research fields and projects, with numerous development opportunities Modern hardware and infrastructure at the workplace, from compute and GPU servers to supercomputers Opportunity for a doctoral degree (Dr. rer. nat.) in one of the group’s diverse research areas Active inclusion and gain of experience within the departments fields of teaching, e.g. from elementary up to specialized Numerics-lectures. Salary according to the public service pay scale (TV-L E13), depending on academic experience, tax class etc. Please check out our recruiting portal: TUMapply https://tumapply.aet.cit.tum.de/ Applications to be sent latest by 31 March 2026 Planned hiring date: 1 July 2026