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Worcester Polytechnic Institute

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Sustainability Impact Rated
Worcester, United States
601–800th in World University Rankings 2026
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About Worcester Polytechnic Institute

Basic information and contact details for Worcester Polytechnic Institute

institution

Worcester Polytechnic Institute is a private university in Worcester, Massachusetts, US, founded in 1865.

The institute uses a process of learning called the WPI Plan, which has been running since 1970. The Plan helps students apply their classroom experiences to projects that cover a social and global perspective.

This includes a first-year course called the Great Problems Seminar, which analyses issues in public health, water, food security, energy and education; an Interactive Qualifying Project in which students offer a solution to a science, technology and society problem; and a Global Projects Programme which sends students to over 40 off-campus project centres. The programme is structured across seven-week terms and there are no failing grades. All students are required to study a core humanities and arts course.

Beyond academics, students can join student organisations such as the African percussion and dance ensemble, fencing club, freestyle wrestling club and table tennis among others.

In terms of athletics, there is the option to play baseball, basketball, cross country, field hockey, football, rowing, soccer, softball, swimming and diving, track and field, volleyball and wrestling competitively.

The university has a 97 per cent first-year retention rate, one of the highest in the US.

A few notable alumni are entrepreneurs Dean Kamen and Naveen Selvadurai, actress Nancy Pimental and chemist George Cowan.

 

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Key Student Statistics

A breakdown of student statistics at Worcester Polytechnic Institute

gender ratio
Student gender ratio
36 F : 64 M (1)
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International student percentage
14% (1)
student per staff
Students per staff
12.9 (1)
student
Student total
6312 (1)

Based on data collected for the (1) World University Rankings 2026

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Doctoral Researcher, MSCA Doctoral Network position “Electric Solar Wind Sail Mission Design”

AALTO UNIVERSITY

Aalto University

Finland

institution

Aalto University

Finland


MSCA Doctoral Network position “Electric solar wind sail mission design” We are now looking for two (2) Doctoral Researchers. This PhD topic is part of the “Electric solar wind sail doctors” (E-Sailors) network, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network Programme. The E-Sailors network is designed to train the next generation of Electric solar wind sail (E-sail) scientists, developers and advocates. This particular Doctoral Researcher (DR) will work with in-orbit results of on-going missions, such as Foresail-1 p developed by Aalto University with the E-sail payload from the Finnish Meteorological Institute (FMI), as well as the DR will develop new and improved in-orbit E-sail experiments for future missions in lunar orbit and deep space. The DR will be enrolled at and hosted by Aalto University, Finland, with the main supervisor Jaan Praks, co-hosted by the FMI with the E-sail researcher Dr. Petri Toivanen. Research field: Space technology, payload development Supervisor: Jaan Praks Offered by: Aalto University, School of Electrical Engineering General description of programme and host The Electric solar wind Sail doctors (E-Sailors) is a challenge-based Doctoral Network that aims to bring Electric solar wind sail (E-sail) from low Earth orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in cooperation with FMI, where E-sail was invented, and 4 companies. E-sail is a highly innovative and potentially disruptive propellantless propulsion system. An operational E-sail consists of hair-thin and kilometres-long wires, or tethers, which are charged at a high voltage creating an electrostatic sheath (electric sail) which deflects solar wind particles and generates the propulsive effect in interplanetary environment. Successful and rapid development and deployment of the technology will ensure EU's leadership in the exploration and exploitation of deep space, the next commercial space frontier. The programme is designed to achieve the following training objectives for our doctoral researchers: Equip them with core scientific skills and specialised knowledge in designing experiments for demonstrating space technologies and developing space missions; Provide them with a wide range of transferrable skills, such as Open Science and FAIR, communicating science to public, advocacy, networking etc.; Develop their business and entrepreneurship skills, such as IPR management, preliminary business planning, pitching to investors, starting start-ups. Aalto University is a leading Finnish university combining science, technology, design, and business to foster innovation and multidisciplinary research. The Aalto Space Lab is a comprehensive facility dedicated to the development, integration, and qualification of small satellites and space payloads. The laboratory features an advanced electronics development environment equipped for precision soldering, calibration, functional testing, and sensor characterization. A dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to space standards. Adjacent to the electronics lab, the Space Technology Testing Laboratory provides an advanced thermal–vacuum facility that enables environmental testing of complete satellites and subsystems under simulated space conditions. This includes vacuum, thermal cycling, thermal balance, and outgassing testing, essential for qualifying hardware for launch and orbital operation. The Space Lab also offers access to a wide suite of engineering and simulation software for electronics design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification. Together, these resources support the full development cycle—from early concept design and prototyping to environmental qualification and flight readiness. The Aalto Space Lab serves as a key hub for small satellite and payload research, education, and technology demonstration, supporting academic projects, collaborative research initiatives, and industrial partnerships that advance Finland’s growing role in space technology. Description of specific PhD project Please indicate in your cover letter which of the two positions you are primarily interested in. Position 1: The E-Sailor 8 The E-Sailor 8 doctoral position focuses on developing advanced methods for E-sail tether deployment monitoring and safety, combining simulation, laboratory testing, and in-orbit validation. The candidate will create dynamical and photorealistic 3D models of the tether and spacecraft to support both engineering analysis and visual monitoring during deployment, working in coordination with the RT3D development led by E-Sailor 15. The research includes conducting laboratory and in-orbit experiments using data from the Foresail-1p mission, analysing tether dynamics, imaging, and operational behaviour. Based on these results, the doctoral researcher will propose and evaluate new deployment schemes and safety strategies, contributing to the reliability of future E-sail missions. The work will result in models and validated methods shared with the wider community to support ongoing and upcoming E-sail technology developments. Duration of the work contract and place of employment: The position is based at Aalto University (24 months) with collaboration at CrystalSpace (CS) (12 months), under the supervision of Jaan Praks (Aalto) and Jaan Viru (CS). Position 2: The E-Sailor 4 The E-Sailor 4 doctoral position focuses on the design and engineering of an electric sail (E-sail) payload system for nanospacecraft, with a particular emphasis on developing the payload for the ESTCube-LuNa mission. Building on previous demonstrations such as ESTCube-1, ESTCube-2, and Foresail-1p, the project aims to apply lessons learned to create a more capable and reliable E-sail payload. The work involves analysing previous mission data, defining requirements for new payloads, and designing the mechanical, electrical, and deployment subsystems for ESTCube-LuNa. E-Sailor 4 will also lead the development and testing of a prototype payload, performing functional and environmental tests to verify its performance and requirements for spacecraft integration. The research will result in three main publications covering lessons learned, design development, and prototype testing. In the final project phase, the doctoral researcher will spend 6 months at Spacecraft Anatomy (SA) to gain industrial experience in space hardware manufacturing and qualification. The project will deliver a E-sail payload prototype design and strengthen the technological foundation for future nanospacecraft missions using E-sail propulsion. Duration of the work contract and place of employment: The main supervisor of the DR at Aalto University, Finland (15 months) is Assoc. Prof. Jaan Praks. The DR will also be co-supervised by the E-sail inventor Petri Toivanen while working for 15 months at the FMI, Finland and by Dr. Iaroslav Iakubivskyi while working 6 months at Spacecraft Anatomy, Estonia. Additional details of the positions Starting date: The position is expected to start in the first half of 2026. Trial period: 6 months  Target degree: Doctoral degree from Aalto University, Finland Approximate gross salary: The salary for a Doctoral Researcher at Aalto University is 3075 EUR per month, which will be adjusted according to the eligible allowances based on MSCA funding. The family allowance will be clarified with the selected candidate once their situation is defined.  The salary at FMI is 2900-3200 EUR/month at the beginning of employment. The starting salary at Spacecraft Anatomy is approx. 2700 EUR/month, plus family allowance, if applicable. Requirements for PhD Position Master's degree in Aerospace Engineering, Space Technology, Physics, Mechanical Engineering, Computer Science, or closely related field. Excellent command of written and spoken English. Research experience and independent work experience evident through technical projects, theses, publications, or technical reports. This includes the evidence of innovative thinking or novel approaches to technical problems, the ability to synthesize information from multiple sources to advance understanding and demonstrated curiosity and persistence in pursuing technical challenges. Strong academic and development track record with demonstrated proficiency in orbital mechanics and propagators (GMAT, STK, or similar), propulsion systems, spacecraft dynamics, space systems, space mission and environment analyses, cubesats, small spacecraft systems, space plasma physics, software development and version control (Git), simulation software development (experience in multiple fields are considered beneficial). Familiarity with simulation software and numerical methods and proficiency in programming languages (Rust, Python, MATLAB, C/C++, or similar) for simulation and data analysis. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting project deadlines and delivering results without constant supervision. Proven ability to work autonomously on complex technical problems and demonstrated problem-solving skills in technical/engineering contexts. Leadership experience in terms of leading or significantly contributing to multi-month technical projects and taking initiative in research or development activities. Experience working with interdisciplinary and international teams while maintaining individual accountability, such as driving projects forward without extensive guidance. Example of at least one practical project completed within the deadline with minimal supervision, and evidence of self-motivation and proactive problem-solving. Please submit description of personal contributions and level of independence, project outcomes and impact, and references in terms of publications, theses, technical reports, simulations, analysis, code samples, or documentation (multiple references are considered beneficial). The above duties are not exhaustive; the PhD candidate may be required to undertake other tasks consistent with the role and the objectives of the E-Sailors Doctoral Network. Duties and Responsibilities Position 1: The E-Sailor 8 Undertake innovative and independent research on E-sail tether deployment monitoring, dynamics, and safety to enhance the reliability of future nanosatellite missions. Carry out literature reviews, requirement analyses, and theoretical studies on tether mechanics, deployment systems, and in-orbit monitoring approaches. Develop and validate numerical models of tether and spacecraft dynamics, and create photorealistic 3D visualizations to support monitoring and analysis of deployment behaviour. Adapt, develop, and learn new simulation, modelling, and imaging tools, including integration with real-time visualization frameworks such as RT3D. Plan and execute laboratory experiments to characterize tether deployment and verify model performance under controlled conditions. Contribute to in-orbit testing and data analysis activities related to the Foresail-1p mission, including image-based monitoring and interpretation of tether behaviour. Design and propose improved E-sail tether deployment schemes, safety mechanisms, and operational procedures for future missions. Document and communicate research progress through high-quality technical reports, scientific publications, and conference presentations. Collaborate closely with academic and industrial partners at Aalto University and CrystalSpace, while maintaining the ability to work independently and solve technical challenges proactively. Stay up to date with advances in spacecraft dynamics, tether technologies, and on-board imaging systems, integrating new insights into the research. Actively contribute to outreach and communication activities that promote awareness of E-sail technology and space engineering research. The above duties are not exhaustive; the PhD candidate may be required to undertake additional tasks consistent with the role and the objectives of the E-Sailors Doctoral Network. Position 2: The E-Sailor 4 Undertake innovative and independent research on the design, development, and testing of nanosatellite-compatible E-sail payload systems, contributing to the advancement of sustainable electric sail propulsion technology. Carry out literature reviews, requirements analysis, and conceptual studies based on lessons learned from previous E-sail missions (ESTCube-1, ESTCube-2, Foresail-1p) to define the design framework for next-generation E-sail payloads. Develop and implement detailed design concepts for the ESTCube-LuNa E-sail payload, including mechanical layout, tether deployment mechanisms, electronics, and spacecraft interface design. Adapt, develop, and learn new engineering and simulation tools, software, and laboratory methodologies relevant to nanosatellite payload design, integration, and testing. Lead the manufacturing and experimental validation of the ESTCube-LuNa E-sail payload prototype, including functional testing, thermal-vacuum testing, and environmental qualification. Document and communicate research results in professional written English through technical reports, design documentation, and peer-reviewed scientific publications. Present research progress and findings at academic and industry conferences, workshops, and project meetings, addressing both technical and non-technical audiences. Collaborate closely with researchers and engineers at Aalto University, FMI, and Space Application (SA), while maintaining the ability to work independently and proactively address technical challenges. Stay current with developments in spacecraft propulsion, nanosatellite engineering, and plasma interaction technologies, integrating new findings into project activities. Contribute actively to outreach, education, and public engagement activities related to space technology and E-sail research. The above duties are not exhaustive; the PhD candidate may be required to undertake other tasks consistent with the role and the objectives of the E-Sailors Doctoral Network. Eligibility requirements The applicant must be a doctoral candidate (i.e. not already in possession of a doctoral degree at the date of the recruitment). The researcher to be recruited can be of any nationality. At the time of recruitment, the researcher must not have resided or carried out their main activity (work, studies, etc.) in Finland for more than 12 months in the three years immediately prior to the recruitment date. Compulsory national service and/or short stays such as holidays are not considered. If you are chosen for this position, you will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering. How to apply? Please submit your application through our online recruitment system. To access the recruitment system, please use the “Apply now!” link below. Please apply as soon as possible, at the latest by January 31st, 2026 (at 23.59 UTC +2). The applicant must submit the following documents through the Aalto portal; only clear copies of documents will be considered. Please note that our recruitment system allows maximum of 5 attachments, so please combine the copies of certificates and transcripts in one PDF, if necessary. Copies of the bachelor's and master's degree certificates including transcripts. For degrees completed in European universities, include also the Diploma Supplement. If the original documents are in a language other than English, include also translations into English. Finnish and Swedish certificates are also accepted. Motivation letter: maximum 1 page where you introduce yourself and present your qualifications; you may include also your previous research fields and main research results. Please emphasize your future goals career-wise Curriculum Vitae / CV List of publications (if any) showing your contribution in the publication References: Contact detail(s) of referee(s) included in the CV Please remember to indicate in your application which position you are primarily interested in (Position 1: The E-Sailor 8 or Position 2: The E-Sailor 4). Please note that we might begin conducting interviews already during the application period, so early applications are encouraged. This allows us to get to know candidates as soon as possible and keep the process moving efficiently. For more information about the position, please contact Associate Professor Jaan Praks, (jaan.praks@aalto.fi). Additional information in recruitment process related questions, please contact ELEC’s HR team, hr-elec@aalto.fi. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.

Salary

2700 EUR - 3200 EUR/month

Posted

22 Dec 2025

Teaching Faculty Position - Machine Learning: Deep Learning and Neural Networks, The Brain of AI

MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi

institution

Mohamed Bin Zayed University of Artificial Intelligence

United Arab Emirates, Abu Dhabi


Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Deep Learning (DL) to teach "The Brain of AI," a foundational course designed to build a comprehensive understanding of core Deep Learning (DL) concepts, techniques, and applications. The ideal candidate will provide expert instruction on neural network architectures, backpropagation, activation functions, and optimization algorithms, ensuring students gain practical skills using frameworks such as PyTorch, preparing them for advanced AI studies. Responsibilities include: Delivering high-quality instruction in Deep Learning and related AI subjects. Developing and updating course content, projects, and assessments aligned with current research and industry trends. Providing an engaging and supportive learning environment that fosters conceptual understanding and practical competence. Mentoring and advising students on academic and project work. Collaborating with faculty to continuously enhance curriculum design and teaching effectiveness. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Data Science, or a closely related field. Demonstrated expertise in Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered learning. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

Salary

Competitive

Posted

22 Dec 2025

Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering

MONASH UNIVERSITY

Monash University

Australia, Clayton

institution

Monash University

Australia, Clayton


Job No.: 688022 Location: Clayton campus Employment Type: Full-time  Duration: Continuing appointment Remuneration: $114,951 - $136,505 pa Level B (plus 17% employer superannuation) / $140,812 - $162,366 pa Level C (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity Exciting Opportunity at Monash University: Lecturer/Senior Lecturer in Electrical and Computer Systems Engineering The Faculty of Engineering is seeking a motivated and skilled academic to join our Department of Electrical and Computer Systems Engineering (ECSE) at the Lecturer or Senior Lecturer level. This is a chance to contribute to cutting-edge education, research, and professional activities shaping the future of technology. In this role, you will make significant contributions to teaching, engage with students, and collaborate with colleagues in delivering innovative courses. Your work will complement our strengths in wireless communications & RF identification, intelligent robotics, biomedical engineering and power electronics & energy., underpinned by expertise in electronics, RF, sensors, energy systems, and computing devices—driving real-world applications that fuel innovation. You will also lead transformative research, contributing to global challenges through impactful work and collaboration. What We Are Looking For: Expertise in Electrical and Computer Systems Engineering, especially in wireless communications technology, and biomedical engineering. Passion for teaching and inspiring students in a dynamic environment. Experience integrating AI techniques to enhance and drive innovation. A commitment to high-impact research that influences technology and industry. Strong leadership and collaborative skills. Ready to shape the future of engineering? Apply today and be part of a team that’s transforming education and research at Monash University. About Monash University At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We make tangible contributions because our purpose is clear; to deliver positive economic, social and environmental impact in resolving the global challenges of our age. At the core of achieving this purpose is the diversity of our staff. We welcome and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop your career in exciting ways. This is why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.  Learn more about Monash. Be part of our story. Work with us to #ChangeIt. Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments.  To Apply Level B - Lecturer: Please submit the following: Resume 1-page Research Summary outlining your mission Cover letter addressing your experience in the 3 following areas: Demonstrated skills in statistical analysis and manuscript preparation, with a track record of refereed research publications Strong teaching experience in a tertiary environment Commitment and passion for engaging in scholarly and research activities Level C - Senior Lecturer: Please submit the following: Resume 1-page Research Summary outlining your mission Cover letter addressing your experience in the 4 following areas: Publication record in high-quality refereed journals, conferences, or equivalent textbooks/teaching resources Ability to lead outstanding research and manage a research team and projects Proven success in securing significant external research grants Strong teaching experience, including course coordination, in a tertiary environment For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.  Diversity is one of our greatest strengths at Monash. As proud recipients of the SAGE Athena Swan Silver accreditation, we are recognised sector leaders in gender equity, diversity and inclusion, with the organisational maturity and systems in place to support our staff to thrive. We also provide comprehensive support for parents and caregivers at all life stages. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups. As part of our commitment to improving gender diversity in our faculty, we also encourage applications from women and gender-diverse candidates.  Research shows that women and underrepresented groups are often more hesitant to apply unless they meet all the requirements. If you believe you can bring the core capabilities, values and passion to this role, we encourage you to apply diverse perspectives and experiences to make our team stronger.  We are proud  to foster an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu  in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University. Enquiries: Professor, Yan Tat Wong, Head Electrical and Computer Systems Engineering, yan.wong@monash.edu Position Description:  Lecturer Senior Lecturer Applications Close: Monday 9 February 2026, 11:55pm AEDT

Salary

$114,951 - $162,366 pa (plus 17% employer superannuation)

Posted

22 Dec 2025

Senior Lecturer in Computational Social Science and Digital Literacy

THE UNIVERSITY OF HONG KONG

The University of Hong Kong

Hong Kong

institution

The University of Hong Kong

Hong Kong


Ref.: 534005 Work type: Full-time Department: Faculty of Social Sciences (30000) Categories: Teaching Staff Applications are invited for an appointment as Senior Lecturer in Computational Social Science and Digital Literacy (Ref.: 534005) in the Faculty of Social Sciences, to commence as soon as possible, on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. The Faculty of Social Sciences (FOSS) offers a wide range of undergraduate and taught postgraduate programmes that integrate quantitative, computational and social science approaches. The appointee will play a key role in advancing the Faculty’s offerings in Computational Social Sciences (CSS), Master of Social Sciences in Social Data Analytics (MSDA) and Maser of Public Administration (MPA). The appointee will contribute to teaching and curriculum development across undergraduate and postgraduate programmes, supervise graduate capstone projects, support programme operations (including admissions, recruitment, and digital promotion activities), advise students on their academic and professional development, and contribute to cross‑disciplinary collaborations within the Faculty and the University. Duties and Responsibilities The appointee will teach and coordinate the following courses (or their equivalents): Undergraduate (UG) Courses FOSS – Introduction to Computational Social Science  SOCI – Programming for Social Scientists  AILT – Digital Literacy Through a Social Sciences Lens Taught Postgraduate (TPg) Courses MSDA – Statistical Foundations  MSDA – Causal Inference in the Social Sciences  SOCI – Quantitative Research Methods Selection Criteria Applicants should possess a Master’s degree or above in Computational Social Science, Data Analytic Statistics, Sociology, Political Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based), Natural language processing and Social Network Analysis courses on modern computational social science methods at the graduate level; A track record of completed projects working with computational models and large-scale social science data; Post-qualification working experience in relevant professional or academic settings; Interdisciplinary teaching and research; and Experience working with persons from diverse social, cultural and linguistic backgrounds is expected, alongside excellent communication skills in English. What We Offer A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. How to Apply The University only accepts online application for the above post. Applicants should apply online, and upload (1) a cover letter; (2) an up-to-date CV; and (3) a teaching statement. Review of applications will start as soon as possible and continue until January 9, 2026, or until the post is filled, whichever is earlier.

Salary

Competitive salary

Posted

22 Dec 2025

University Tutor in Mathematics & Statistics

MAYNOOTH UNIVERSITY

Maynooth University

Ireland, Maynooth

institution

Maynooth University

Ireland, Maynooth


Department: Mathematics & Statistics Vacancy ID: 039223 Closing Date: 25-Jan-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The University Tutor plays an important role in the delivery of many of the University’s academic programmes and is appointed for the primary purpose of contributing to teaching within a clear and established teaching programme by providing tuition and/or demonstrations to groups of, usually undergraduate students, in specific aspects of the programme. The University Tutor assists and supports students to further develop their understanding of key course topics and to draw out key learning points from course materials. University Tutor: €45,051 – €57,348 p.a. (7 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 25th January 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

Salary

€45,051 – €57,348 p.a.

Posted

22 Dec 2025

Subjects Taught at Worcester Polytechnic Institute

See below for a range of subjects taught at Worcester Polytechnic Institute

Arts and Humanities

  • Architecture
  • Art, Performing Art and Design
  • History, Philosophy and Theology

Business and Economics

  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Education Studies

  • Education

Engineering

  • Chemical Engineering
  • Civil Engineering
  • Electrical and Electronic Engineering
  • General Engineering
  • Mechanical and Aerospace Engineering

Life Sciences

  • Biological Sciences

Medical and Health

  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences
  • Mathematics and Statistics
  • Physics and Astronomy

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies
  • Politics and International Studies
  • Sociology