Polytechnic of Guarda

Ref.: 534505 Work type: Full-time Department: Faculty of Arts (04000) Categories: Professoriate Staff Applications are invited for a joint appointment as Associate Professor on tenure terms or Tenure-Track Assistant Professor in the Faculty of Arts and the School of Computing and Data Science (Ref.: 534505), to commence on August 1, 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. This is an open-discipline call. We are seeking outstanding Humanities scholars capable of developing a creative and innovative programme of research and teaching bridging existing disciplinary strengths in HKUArts and artificial intelligence applications. The appointee will have their tenure home in their specific (inter)disciplinary unit in the Faculty of Arts, but will be jointly appointed to the School of Computing and Data Science and will also become a member of the Institute of Data Science (IDS). As an AI+Arts hire the appointee will foster cross-disciplinary collaborations between strategic research areas in the Faculty and, with the support of the Arts Technology Lab and its staff, take a leading role in applying artificial intelligence (AI) to their research and teaching in the Arts and Humanities. They will develop and maintain high-calibre research, publish their research findings with reputable journals and/or presses, and present their research at conferences, secure external funding through applications for grants, teach courses, mentor students, contribute to service and engage in the scholarly activities of the Faculty. Their teaching will support our AI-rich programme offerings. Applicants should possess a Ph.D. in a relevant field. The ideal candidate will demonstrate a robust research record with a cross-disciplinary approach spanning multiple subfields; a strong commitment to excellence in both research and teaching; and proven academic leadership qualities to contribute to interdisciplinary programmes such as BA&BEng(AI&DataSc) and BA(HDT). The Faculty of Arts The Faculty of Arts, founded in 1912, is a research-led, English-medium faculty offering undergraduate, taught postgraduate, and research postgraduate programmes. One of the University’s three original faculties, with over 3,600 students and some 220 full-time academic and 90 administrative staff, the Faculty of Arts is China’s most international English-language Arts faculty. The quality and comprehensiveness of humanities research and teaching in the Arts Faculty distinguish HKU from other top-ranking universities in China, and make HKU a key vantage point for the study of China’s past and present in relation to the world. The Faculty delivers impact through internationalization, innovation and interdisciplinarity. The Faculty ranges from 1st-4th place in Asia and from 14th-54th in the various world rankings. HKU is the only Asian university in the top 30 ‘Best Universities for Arts and Humanities.’ While HKU regularly places in the top 1-2 most ‘international’ universities in the global rankings, Arts is its most international faculty with 75.7% international professoriate staff. More information about the Faculty is available https://arts.hku.hk/. The School of Computing and Data Science The School of Computing and Data Science (CDS) strives to advance education and research across the fields of computing and data science, artificial intelligence, statistical decision sciences, fintech, and actuarial science. It aims to take an integrated approach to reform these academic disciplines and foster multidisciplinary research collaboration within the University and beyond. CDS is ranked 18th globally in Data Science and Artificial Intelligence and 21st in Computer Science and Information Systems in the QS World University Subject Rankings. For more information about the School, please visit http://www.cds.hku.hk. What we offer The successful candidate will be jointly appointed by a Teaching Department in the Faculty of Arts and the School of Computing and Data Science best aligned with the candidate’s expertise. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary for fixed-term appointment. Other benefits include annual leave and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, curriculum vitae, research statement, teaching statement, 2 or 3 most significant research publications, and contact information for at least three references. Review of applications will commence as soon as possible and continue until April 30, 2026, or until the post is filled, whichever is earlier. The University is committed to diversity and inclusivity. The Faculty of Arts expressly encourages qualified persons from all genders to apply.

About the role We are seeking an organised, detail‑oriented Clinical Research Data Integration Coordinator to work within the Cancer B‑cell Group on the CRUK Accelerator Programme “Early Cancer Research Initiative Network on Monoclonal B‑cell Lymphocytosis (ECRIN‑M3)”, led by Professor Francesco Forconi. You will be based in the School of Cancer Sciences, working closely with clinicians, scientists and data specialists to turn real‑world clinical information into clean, analysis‑ready research datasets from patients with leukaemia (e.g. Chronic lymphocytic leukaemia) and lymphomas (e.g. Follicular lymphoma). Your primary responsibility will be to systematically extract and curate clinical data from medical records (electronic patient record systems and, where applicable, paper notes) and integrate these data into research databases and linked study systems. You will play a central role in maintaining data quality, provenance, and completeness, ensuring robust, reproducible data flows from recruiting sites. For candidates with relevant interest and experience, there will be opportunities to contribute to analysis support (e.g., descriptive analyses, QC/consistency checks, basic survival summaries) and to develop/manage data pipelines (ETL, validation rules, automation, dashboards) in collaboration with the Clinical Informatics Research Unit (CIRU). What you’ll do Extract and abstract clinical variables from medical records into structured formats aligned to the protocol and data dictionaries. Curate, validate and reconcile clinical data with laboratory/biomarker and study datasets; resolve data queries with clinical teams. Integrate data into research repositories (e.g., BC Platforms) following SOPs, with clear documentation of provenance and versioning. Maintain data dictionaries, mapping tables and coding standards. Monitor completeness and quality; run routine QC/consistency checks; manage data corrections and audit trails. Liaise with recruiting sites, research nurses and international collaborators to support timely, accurate data flows. Adhere to information governance, confidentiality and research ethics requirements (e.g., GDPR, ethical approvals, data access controls). Contribute to analyses, dashboards and automated validation/ETL pipelines using SQL/Excel and/or R/Python, support simple visualisations and reports for investigators. About you Experience extracting/abstracting data from electronic medical records and/or clinical notes into structured datasets.  Meticulous attention to detail; comfortable navigating diverse clinical documentation.  Working knowledge of clinical terminologies/coding (e.g., ICD‑10, SNOMED CT, CTCAE); familiarity with haematology/oncology concepts is desirable.  Confident with Excel and at least one research data environment (e.g., SQL‑based tools, ALEA, BC Platforms, or similar data capture/warehouse systems).  Understanding of GDPR, confidentiality, research governance and data security in a clinical research setting.  Clear communicator who builds strong relationships with clinicians, research nurses and data specialists, and escalates appropriately when decisions or approvals are needed Self‑starter who takes ownership and progresses work independently, drawing on guidance and support from CIRU and the wider team when needed Proactive and solution‑focused, able to plan and prioritise workload, anticipate blockers, and propose pragmatic improvements to data capture, validation and workflows Desirable: basic scripting in R or Python; experience writing SQL for data cleaning/QC; exposure to survival/epidemiological concepts; experience with haematological malignancies or early cancer research About us A collaborative team spanning Cancer B‑cell immunology, genomics, molecular/cellular biology, bioinformatics and clinical informatics. The environment combines strong clinical engagement with modern data infrastructure to generate high‑quality real‑world datasets that inform patient care and translational research. We value diversity We welcome applications from all sections of the community and support flexible working where possible. If we receive a high volume of applications, we may close the vacancy early—please apply as soon as you are ready.

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 ... University Assistant postdoctoral 45 Faculty of Philological and Cultural Studies Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.04.2032 Reference no.: 5326 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! Your area of responsibility As a postdoctoral university assistant (40 hours, full-time), you will work in research, teaching and administration at the Department of Near Eastern Studies of the University of Vienna. As a center for the study of the Near and Middle East, including North Africa, the Department of Near Eastern Studies at the University of Vienna is not only the only institution of its kind in Austria, but also one of the largest such centers in Central Europe. Our research and teaching focuses on Ancient Near Eastern Studies, Arabic and Islamic Studies, as well as Turkish and Ottoman Studies. The Department of Near Eastern Studies is part of the Faculty of Philology and Cultural Studies of the University of Vienna. Through numerous research collaborations with academic institutions worldwide, the department is well connected internationally. Staff and students appreciate the diversity of subjects taught, the interdisciplinary outlook, as well as the international and collegial nature of exchange at our department. Your responsibilities will include supporting the Chair of Cultural and Intellectual History of the Islamic World in research and teaching, including student supervision and participation in administrative duties at the department. You will be expected to teach independently and to establish and develop an independent research profile in the field of cultural and intellectual history of the Islamic world. Your future tasks: You will actively participate in research, teaching and departmental administration. This means: Supporting the Chair in Cultural and Intellectual history of the Islamic World. Developing an independent research profile in the field of Cultural and Intellectual history of the Islamic World. International publication and lecturing activities. Participation in the FWF Cluster of Excellence ‘EurAsian Transformations’. Supporting the acquisition of third-party funding. Preparing a habilitation in the field of Cultural and Intellectual history of the Islamic world. Preparing and carrying out teaching duties (in accordance with the provisions of the collective bargaining agreement of the university scientific staff). Supervising students. Participation in evaluation measures and quality assurance. Administrative tasks in research and teaching. This is part of your personality: Completed doctoral/PhD studies in Islamic Studies or a related discipline with a focus on Islamic cultural or intellectual history Excellent knowledge of Arabic, as well as knowledge of another language (e.g. Persian, Turkish) Outstanding dissertation Research focus on the religious, cultural and intellectual history of the pre-modern Islamic world Research expertise, as demonstrated through international (peer-reviewed) publications & independent research initiatives Experience in research management Experience in organising workshops, conferences and lecture series Experience in independent teaching; excellent teaching skills Excellent English skills; a high level of written and oral communication skills Good German skills, or a commitment to achieve B2 level German within three years of the start date  What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement). Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year) for a period of 6 years increases if we can credit professional experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: With your cover letter (max. 2 pages) With your curriculum vitae With your list of publications With a summary of research interests and a short description of your project for habilitation (max. 3 pages, excluding literature) With your PhD dissertation, and confirmation of the completion of your PhD/doctoral degree Contact details of two referees Via our job portal / Apply now - button If you have any questions, please contact: Katharina Ivanyi katharina.ivanyi@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: 03/12/2026 Post Doc