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ZHAW Zurich University of Applied Sciences

Ranked
Winterthur, Switzerland
1001–1200th in World University Rankings 2026
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About ZHAW Zurich University of Applied Sciences

Basic information and contact details for ZHAW Zurich University of Applied Sciences

ZHAW Zurich University of Applied Sciences is a leading Swiss institution offering teaching, research, and continuing education with a strong focus on practical and science-based approaches. The university's main campus is located in Winterthur, a city in the canton of Zurich in northern Switzerland. Winterthur is the country's sixth-largest city by population and is situated approximately 20km northeast of Zurich. While the official language is German, the local spoken language is the Alemannic Swiss German dialect, Zurich German. ZHAW has two additional campuses in Zurich and Wädenswil. The university comprises eight academic schools: applied linguistics, applied psychology, architecture, design, and civil engineering, health sciences, life sciences and facility management, engineering, management and law, and social work. Within each school, various institutes and departments offer a wide range of degree programmes at both undergraduate and graduate levels. To facilitate academic and scientific exchanges, ZHAW has established partnerships with higher education institutions worldwide, including the University of Technology, Sydney in Australia, the University of Helsinki in Finland, and the Corvinus University of Budapest in Hungary. ZHAW has identified five key topics addressing current challenges and is actively pursuing strategic goals in these areas: energy, societal integration, ZHAW digital, ZHAW sustainable, and ZHAW entrepreneurship.

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Key Student Statistics

A breakdown of student statistics at ZHAW Zurich University of Applied Sciences

gender ratio
Student gender ratio
54 F : 46 M (1)
globe fill
International student percentage
12% (1)
student per staff
Students per staff
12 (1)
student
Student total
11059 (1)

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

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Senior Lecturer in Big Data & Artificial Intelligence

Oxford Brooks College, Chengdu University of Technology

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu

institution

Oxford Brooks College, Chengdu University Of Technology

China, Chengdu


Location: Chengdu, China (On-site) Institute: CDUT-Oxford Brookes College Programme: MSc in Big Data & Artificial Intelligence Start Date: September 2026 or earlier We are seeking highly motivated and qualified academics to join our dynamic team at the CDUT-Oxford Brookes College. This role is at the heart of our new MSc in Big Data and Artificial Intelligence, a programme designed to equip students with the advanced technical skills and theoretical foundations required to excel in the rapidly evolving fields of data science, machine learning, and artificial intelligence. If you are an educator passionate about shaping the next generation of AI and data science professionals, we want to hear from you. The Role You will deliver high-quality, practical teaching across the programme's core modules, which cover the full spectrum of data science and AI. Your teaching portfolio will include: Programming and Software Tools (COMP7001): Introducing students to the principles of programming, software engineering, and the use of software libraries for data science and AI solutions. Principles of Data Science (COMP7035): Guiding students through data collection, processing, analysis, and visualisation methodologies, with an emphasis on data security and privacy. Machine Learning and Data Mining (COMP7034): Teaching students the fundamentals of machine learning algorithms, data mining techniques, and responsible AI practices, including model evaluation, bias mitigation, and ethical considerations. Statistical Modelling (COMP7036): Equipping students with regression analysis techniques, generalised linear models, and advanced statistical methods essential for robust data analysis. Research Methods (COMP7037): Preparing students to conduct rigorous, ethical research, including literature review, project planning, and understanding of professional and legal issues in computing. Group Software Project (COMP7029): Facilitating collaborative, live project experiences where students apply software production principles, project management, and teamwork to solve real-world problems. MSc Dissertation in Computing Subjects (COMP7039): Supervising students through their final research project, guiding them from proposal to final thesis. This role requires a strong technical foundation combined with the ability to teach complex concepts in an accessible, applied manner. You will guide students through the entire data science lifecycle, from data preparation and exploratory analysis to machine learning model deployment and evaluation, always with an emphasis on ethical practice, information security, and responsible innovation. In addition to postgraduate teaching, you will be expected to teach and mentor final-year (Level 6) undergraduate students enrolled in the dual bachelor's degree, including supervising their final year research projects. The teaching load is up to 20 class periods per week. Due to the profile of our students, who are often working professionals, teaching may be scheduled in the evenings or on weekends. You will also provide at least 6 class periods per week of office hours for student support and mentorship. Key Responsibilities: Deliver innovative, practical, and theoretically grounded teaching across data science, machine learning, AI, and software development modules at postgraduate and undergraduate levels. Teach students how to use programming languages (e.g., Python, R) and data science tools to collect, process, analyse, visualise, and model complex datasets. Guide students in understanding the ethical, legal, and security implications of AI and data-driven systems, fostering a culture of responsible practice. Provide comprehensive academic support and mentorship, supervising master's dissertations and undergraduate final year research projects with a focus on applied AI and data science problems. Facilitate group software projects, helping students develop collaboration, project management, and technical documentation skills. Actively contribute to the academic environment through curriculum development, collaborative initiatives, and participation in performance reviews. Uphold the highest standards of education and scholarly engagement. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Participate in staff development, including completing a staff development plan, attending training, and engaging in peer observations. Take part in staff appraisals and contribute to programme marketing if requested. Attend team meetings and fulfil administrative responsibilities as outlined in the staff handbook. Ensure all duties are performed to the highest standard and within agreed timelines. Selection Criteria Essential: A PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a closely related field. A minimum of 2 years of higher education teaching experience at the postgraduate level, demonstrating the ability to teach practical programming and data science skills, preferably at a Senior Lecturer level or higher. Demonstrated proficiency in programming languages for data science and AI (e.g., Python, R) and relevant libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). A strong understanding of machine learning algorithms, statistical modelling, and data mining techniques. Proven experience in supervising postgraduate dissertations and/or undergraduate final year research projects. Excellent communication and interpersonal skills, with the ability to work effectively in a cross-cultural environment. A commitment to fostering student success and a positive learning experience. Willingness to teach in the evenings or on weekends as required. Desirable: Experience teaching within the British higher education system or on British university modules. Experience teaching in transnational education (TNE) or joint programme settings. A postgraduate degree (PhD or Master's) obtained from a British university. An emerging or established research profile in AI, machine learning, data science, or a related field, evidenced by publications. Experience with industry collaboration or applied AI/data science projects. Experience developing curriculum for Chinese learners in an English-medium context, with an understanding of the linguistic and cultural considerations involved. Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies. Experience facilitating group projects or industry-sponsored live projects. Equality, Diversity, and Inclusion: We are committed to building a diverse and inclusive academic community. Female candidates are strongly encouraged to apply. Salary & Benefits: Competitive Package: An attractive salary commensurate with qualifications and experience. Relocation Support: Comprehensive support including annual flight allowance. On-campus accommodation or a housing allowance may be available subject to availability and university policy at the time of appointment, and full visa/residence assistance. Career Growth: Opportunities for personalised professional development and career advancement. Research Opportunities: Potential to engage in research aligned with the institute's strategic goals. Lifestyle Assistance: Dedicated support team to help with all aspects of living and settling in Chengdu. About CDUT-Oxford Brookes College The CDUT-Oxford Brookes College is a prestigious transnational education partnership between Chengdu University of Technology (CDUT) and Oxford Brookes University, United Kingdom. CDUT has offered TNE programmes since 2004. The college is home to around 100 academic staff members serving a student body of over 2,000. Our qualified and experienced faculty deliver a range of programmes, currently offering four undergraduate degrees in Business Management, Accounting and Finance, Software Engineering, and Computer Science. The Institute is now expanding to offer postgraduate programmes, including this new MSc in Big Data and AI. As a member of our faculty, you will join a collaborative and supportive academic community committed to fostering student success and advancing cross-cultural education. About the City Chengdu, the capital of Sichuan Province, is one of China's most dynamic and liveable cities. The university is conveniently located in the city area, with easy access to Metro Lines 7 and 8, allowing for effortless travel across the city. Known for its rich history, vibrant culinary scene, and relaxed lifestyle, Chengdu offers an exceptional quality of life. With its modern infrastructure, growing expatriate community, and relatively low cost of living compared to other major Chinese cities, Chengdu provides an ideal setting for international academics. How to Apply Interested candidates are invited to submit their application materials to careers-pg@zy.cdut.edu.cn Please submit the following: A detailed CV outlining your academic qualifications, teaching experience, research profile, and relevant professional experience. A cover letter (max. one page) explaining your teaching philosophy, preferred module(s) and how your skills and experience align with the selection criteria. Application Deadline: May 22nd, 2026 Shortlisted candidates will be asked to complete our internal job application form and will receive further details on salary and benefits. For inquiries about the position, please contact Waseem Abbasi at waseem@zy.cdut.edu.cn Due to the large number of applications, only shortlisted candidates will be contacted. We prefer to hire staff members who intend to stay for several years. The partnership is an equal opportunities employer, but successful candidates must be able to meet the requirements to obtain a Chinese work permit. We look forward to receiving your application and welcoming you to our team in Chengdu.

Salary

Competitive

Posted

8 May 2026

Senior Scientist Postdoctoral, Psychology

UNIVERSITY OF VIENNA

University of Vienna

Austria, Vienna Danubepier Hov

institution

University of Vienna

Austria, Vienna Danubepier Hov


At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... Senior Scientist postdoctoral 47 Faculty of Psychology Startdate: 01.07.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5615 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! The Faculty of Psychology at the University of Vienna comprises the Dean's Office, a StudiesServiceCenter (SSC) and four institutes. The position to be filled is based at the Chair of Clinical Psychology of Childhood and Adolescence (Univ.-Prof. Dr. Martina Zemp) at the Institute of Clinical and Health Psychology. Our research area investigates, among other things, family risk and protective factors for mental disorders in childhood and adolescence in basic and applied research (see for specific focal points: https://kpkj-psy.univie.ac.at/forschung/forschungsschwerpunkte/). Methodological foci include research syntheses, Ecological Momentary Assessment (EMA) and behavioral observation of family interactions. We offer excellent working opportunities (including a newly established observation laboratory in the faculty's outpatient unit for research, teaching and practice, https://flpa-psy.univie.ac.at), a young and motivated working team as well as international collaborations and intensive support with the possibility of further scientific qualification (possibly habilitation) for young researchers. The position is limited to a period of 10 months and the employment level is 40 hours/week with the possibility of subsequent unlimited employment. Find out more about us: Instagram https://kpkj-psy.univie.ac.at/ https://klinische-gesundheit-psy.univie.ac.at/ Your personal sphere of play: As a senior scientist postdoc, you will join the research team and take on the following tasks: Independent planning, implementation, and evaluation of research projects (quantitative, qualitative, and mixed-methods studies), studies using observational data, and research syntheses (scoping reviews, systematic reviews, meta-analyses, and metascience approaches) Advanced statistical evaluations (especially machine-learning based analyses) Leadership roles in data protection, data management, and general research workflows Publication of research results in international peer-reviewed journals Active participation in national and international scientific conferences Student supervision (especially co-supervision of master’s theses) Acquisition of third-party funds Holding of examinations, if necessary Participation in and independent teaching of courses in accordance with the collective agreement (if necessary) Your profile: Completed doctoral degree/PhD in psychology (preferably in a research area relevant to the research group/ clinical child and adolescent psychology) High level of expertise in research in the field of clinical psychology of childhood and adolescence, especially in the specific focus areas of the working group (https://kpkj-psy.univie.ac.at/forschung/forschungsschwerpunkte/) Extensive experience in the management and implementation of third party funded research projects and in scientific publishing Good knowledge of quantitative analysis methods (including machine learning-based analyses)  and motivation to deepen methodological skills Extensive experience in conducting research syntheses (scoping reviews, systematic reviews, meta-analyses, and metascience approaches) Experience in acquiring third-party funding Experience in student supervision (especially in the context of final theses) Very good written and spoken German and English Skills Ability to work in a team  Strong organizational skills and commitment High level of initiative and independence The following qualifications are also desirable: Proven research expertise & initiative through international publications Relevant publications in the research areas of the working group Experience in conducting qualitative and mixed-methods analysis Experience in collecting and analyzing observational data Knowledge of university processes and structures What we offer: Further academic qualification (possibly habilitation): We offer support for a scientific career with very good supervision and in a motivated, committed team Further training and supervision: We offer you the opportunity to expand and deepen your skills (e.g. teaching). Scientific exchange: You will take part in international conferences and, if necessary, guest residencies Work-life balance: We offer you the opportunity to work remotely (maximum 50% of working hours) by arrangement. Inspiring working environment: You will be part of a team with excellent research infrastructure in a pleasant working atmosphere. Appreciative team culture: As a team, we meet regularly for team meetings and various activities (team lunches, retreats, Christmas parties, etc.). Good public transport connections: Your new workplace is easily accessible by public transportation. Fair salary: The basic salary is EUR 5.014,80 (14 x per year; basis: 40h full-time employment). It is that easy to apply: Letter of motivation Academic curriculum vitae incl. list of publications, list of courses, list of lectures/conference contributions Copy of the diplomas Copy of the dissertation (desired) Letters of recommendation and/or references (desired) Via our job portal/ Apply now -  button If you have any questions, please contact: Urs Markus Nater urs.nater@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 place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, 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: 05/16/2026 (Senior) Lecturer & Researcher

Salary

EUR 5.014,80 (14 x per year; basis: 40h full-time employment)

Posted

8 May 2026

Lecturer, Faculty of Business and Law

DEAKIN UNIVERSITY

Deakin University

India

institution

Deakin University

India


Based at our GIFT City Campus Full-time and continuing positions available Attractive Salary Package Why work with us? At Deakin you will have access to benefits such as a variety of leave options including generous parental leave and the ability to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and environment to work in, both online and on campus. About Gift City Deakin is the first University in the world to open an international teaching campus in India. The state-of-the-art campus opened in 2024 in the heart of the smart business district, GIFT City (Gujarat International Finance Tec-City). This campus is giving students access to future-ready Deakin postgraduate courses aligned with local employment needs since July 2024. The programs here will directly support Deakin’s aspiration for innovative international education partnerships that provide lasting value for students, partners, and Deakin. With an ‘In India, with India and for India’ approach, the initiative will also provide opportunities for Deakin and the students to work closely with GIFT City and its industry partners. As a Lecturer, you will: Lead unit teaching teams and work collaboratively with other unit teaching teams in the course to develop effective unit curricula and learning resources (including through unit leadership roles). Assist in applying industry, clinical and/or research practice into student learning experiences, success, engagement and resources. Adopt innovation in curriculum design at the unit level and deliver learner-centric, research-informed teaching practices across different levels / modes of delivery. Maintain deep discipline knowledge which is applied to inform unit design. Develop effective assessment tasks and rubrics at unit level. Provide clear assessment criteria and timely feedback to learners to demonstrate learning outcomes. Support, and may lead, applications for research and creative activities. Build a reputation, based on a growing, focused body of work recognised for quality, excellence and impact and a growing track record of timely delivery of outcomes for industry partners. To be successful, you’ll have: PhD in Information Systems, Business Analytics, or a closely related discipline Excellent record of scholarly learning and teaching in UG and/or PG programs, including innovative curriculum design Emerging reputation in research and scholarship with evidence of an emerging program of research, peer-reviewed publications in leading journals, and a pipeline of research-in-progress which is targeting high-quality journals such as the FT50 list, ABDC A* journals, AIS Basket journals and the UTD journal list Experience in at least two of the following areas of research specialisation within the Department: information systems; business analytics; business analytics and decision-making; machine learning; digital innovation, transformation and disruption; digitally-enabled globalisation; digital entrepreneurship; IT and business value; digital health; artificial intelligence and the future of work Experience in at least three of the following areas of teaching focus within the Department: business analytics; information systems; artificial intelligence for business; digital transformation; machine learning; data science; cyber security; enterprise systems; project management Experience in working in multi-disciplinary research projects Ability to make an impact and contribute to community engagement for research and teaching. Emerging record of scholarly learning and teaching in UG and/or PG programs, including experience in innovative curriculum design Here's how to apply: Please submit your updated resume, a brief cover letter, and responses to the Key Selection Criteria via https://careers.pageuppeople.com/949/cw/en/job/574318/lecturer. For a copy of the position description, please see below:  Level B - Teaching and Research - GIFT City - 2025 - Final.pdf We will be actively monitoring CVs so please apply quickly! Please note: Indian Working rights required. Are You Ready? Deakin is a Australian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community. We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success. We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders. Pre-employment safety and suitability checks: In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks, including Working With Children Checks and candidate gender-based violence declarations. Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A declaration is not required from individuals who have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations. 

Salary

Competitive

Posted

8 May 2026

Post-Doctoral Associate in the Division of Social Science (Economics)

NEW YORK UNIVERSITY ABU DHABI

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi

institution

New York University Abu Dhabi Corporation

United Arab Emirates, Abu Dhabi


Description We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics focusing on Macro, Labor and/or Development Economics. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and UAE visa acquisition by the prospective post-doctoral candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professor Pauline Corblet and Professor Samreen Malik. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market surveys to study the role of beliefs in the labor market in both developed and developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and applying structural models relating to human capital development and labor markets. The position does not require teaching, but it may be possible to get teaching experience for compensation. For consideration, applicants must submit a cover letter, curriculum vitae with a full working paper and publication list, statement of research interests, job market paper, transcript and two letters of reference, all in PDF format. If you have any questions, please email pauline.corblet@nyu.edu or samreen.malik@nyu.edu. Working for NYUAD To help Post-doctoral Associates and faculty thrive, we offer a comprehensive benefits package.This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family. About NYU Abu Dhabi NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply.

Salary

Competitive

Posted

8 May 2026

Postdoctoral Researcher in Biological Anthropology

MASARYK UNIVERSITY

Masaryk University

Czech Republic, Brno

institution

Masaryk University

Czech Republic, Brno


Department: Department of Anthropology – Faculty of Science Deadline: 31 May 2026 Start date: 1.7. 2026 or negotiable Job type: full-time Job field: Project management, grants | Science and research | Education and schooling Bursar of the Faculty of Science, Masaryk University announces an open competition for the position: Postdoctoral Researcher in Biological Anthropology – Demographic Responses to Urbanization Workplace: Department of Anthropology, Faculty of Science, Masaryk University, Czech Republic Type of Contract: Temporary position with 1.5-year contract, non-academic Working Hours: 1 FTE (full-time employment of 40 hours per week) Expected Start Date: 1 July 2026 or negotiable with respect to immigration timelines for non-EU candidates Number of Open Positions: 1 Pay: CZK 50,000 per month Application Deadline: 31. 5. 2026 EU Researcher Profile: R2 (Recognised Researcher) About the Workplace Masaryk University is a modern, dynamic and attractive university in the Czech Republic with ten faculties, more than 7 000 staff and 33 000 students, a wide range of research areas and a strong international position. We are the largest academic employer in the South Moravian Region. Faculty of Science MU, a holder of the HR Excellence in Research Award by the European Commission, is a research-oriented faculty, offering university education (Bachelor’s, Master’s, and Doctoral degree programs) closely linked to both primary and applied research and high school teaching of the following sciences: Mathematics, Physics, Chemistry, Biology, and Earth sciences. We are the most productive scientific unit of the Masaryk University generating around 40 % of MU research results. Department of Anthropology MU is a research- and education-oriented unit focused on the biological, social, and cultural dimensions of humankind. It hosts Bachelor’s, Master’s, and Ph.D. programs and brings together over 120 undergraduate and graduate students within an active research environment. Research integrates biological and behavioral approaches, with strong expertise in biological anthropology, bioarchaeology, and forensic anthropology. The department provides access to well-equipped research facilities, including an isotope laboratory with dedicated sample preparation, ultra-microbalance, and clean-lab rooms; an osteology laboratory with extensive teaching and comparative collections; and a forensic laboratory equipped with advanced 3D human morphology acquisition systems and biological data processing platforms. These infrastructures support interdisciplinary research and advanced analytical training. The Department comprises 20 faculty members and researchers actively engaged in research, teaching, and international scientific collaboration, providing a dynamic environment for postdoctoral development. The BITE Brno project, funded by the Czech Science Foundation, investigates the biological and biosocial dimensions of urbanization in Brno between the 9th and 19th centuries through an integrated bioarchaeological framework. It combines demographic, health, and landscape perspectives to explore how urbanization shaped population structure and lived experiences over the longue durée. By focusing on a single urban setting and treating multiple burial grounds as components of a coherent population, the project enables the analysis of large-scale patterns (ca. 1,000 individuals) using complementary state-of-the-art analytical approaches within a collaborative research framework. The position specifically focuses on reconstructing demographic structures and mobility patterns to better understand biological responses to urbanization. The BITE Brno project invites applications from qualified candidates to support and advance the project’s research objectives. Job Description: Key Duties: Lead and coordinate the paleodemographic analysis of a large archaeological human skeletal assemblage. Perform sex and age-at-death estimation (adults and non-adults) using established osteological methods. Apply and/or contribute to the development of complementary approaches (e.g. cementochronology, proteomic sex estimation). Work efficiently on a large dataset while ensuring analytical consistency and data quality. Participate in the integration of demographic data with other project datasets (e.g. isotopic, paleopathological, and archaeological data). Contribute to statistical analyses and interpretation of population structure in relation to urbanization. Ensure high standards of data recording, consistency, and quality control across the assemblage. Prepare and co-author scientific publications and project outputs within project timelines. Collaborate with project partners and contribute to student supervision when relevant. Skills and Qualifications: Required selection criteria: PhD in anthropology, bioarchaeology, biological anthropology, palaeobiology, or a related field. Demonstrated experience in biological profiling and paleodemographic analysis of archaeological human remains (preferably in inhumation contexts). Ability to work efficiently and independently on large osteological datasets. Strong organizational skills and attention to data quality and consistency. Ability to manage workload autonomously and meet deadlines. Good communication skills and ability to work within a team. Proficiency in English (minimum B2 level, both written and spoken). Preferred selection criteria: Experience working with large skeletal assemblages. Experience with data recording and data management practices. Interest or experience in sampling and sample preparation for cementochronology and proteomic analyses. Experience with statistical analysis (e.g. R or equivalent). Experience contributing to scientific publications. Valid category B driving license (for field or collection access, if applicable). Additional Information: Czech is not required. Training in specific analytical approaches (e.g. cementochronology or proteomic methods) will be provided if needed. Informal inquiries about the position can be sent to Dr. Kévin Salesse (k.salesse@sci.muni.cz). We Offer: An interesting job in a dynamically-expanding university area. Flexible working hours and occasional home office to support personal needs in family and career compatibility. Employee benefits such as 6 weeks of paid vacation per year, pension insurance contribution/long-term investment product/nursery/children´s group allowance, a financial meal allowance, lunches in canteens of MU, Multisport card, psychological counselling, vaccinations free of charge, discounted language courses, exclusive mobile tariff offer by Vodafone, childcare groups at Campus and Komenského náměstí. Opportunity to work and live in a modern and dynamic city (for more information on costs of living, you can refer to Numbeo). Welcome Office provides support with your relocation to Brno. Application Process: The application shall be submitted online by 31 May 2026 (23:59, GMT+2) via an e-application, please find the reference to the e-application in the beginning and end of the advertisement. The candidate shall provide the following: A curriculum vitae (max. 5 pages, in English). A letter of motivation (max. 3 pages, in English) explaining the candidate's interest in and relevant experience for the research activities described above. Contact information for two potential referees familiar with the candidate’s academic background. After submitting your application successfully, you will receive an automatic confirmation email from jobs.muni.cz. Selection Process: Received applications will be considered carefully in line with principles of the EU Charter and Code for Researchers. Selection criteria: (i) meeting qualification requirements described above, (ii) all required documents provided. Shortlisted candidates will be invited for a personal or online interview. The Faculty Recruitment Policy (OTM-R) can be seen here. Faculty of Science, Masaryk University is an equal opportunity employer. We support diversity and are committed to creating an inclusive environment for all employees. Visit our Career page. We are looking forward to hearing from you!

Salary

CZK 50,000 per month

Posted

8 May 2026

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Subjects Taught at ZHAW Zurich University of Applied Sciences

See below for a range of subjects taught at ZHAW Zurich University of Applied Sciences

Arts and Humanities

  • Architecture
  • Languages, Literature and Linguistics

Business and Economics

  • Accounting and Finance
  • Business and Management
  • Economics and Econometrics

Computer Science

  • Computer Science

Engineering

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

Law

  • Law

Medical and Health

  • Other Health

Physical Sciences

  • Chemistry
  • Geology, Environmental, Earth and Marine Sciences

Psychology

  • Psychology

Social Sciences

  • Communication and Media Studies