Polytechnic University of Bari

The University of Vienna is a cosmopolitan hub for  more than 10,000 employees, of whom around 7,500 work in research and teaching. They want to do research and teach at a place that suits their ideas and work together towards answering the big questions of the future. You also appreciate the exchange between disciplines, cultures and generations? We are looking for a/an University Assistant Postdoctoral 52 Faculty of Chemistry Startdate: 01.02.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.01.2032 Reference no.: 5069 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international research and scientific excellence. Ready to be part of our team? Welcome aboard! Your personal sphere of play: Our highly motivated team is looking for a Post Doc for 6 years with experience in mass spectrometry at the Institute of Analytical Chemistry, in Prof. Köllenspergers group, at the Faculty of Chemistry. The succesful candidate will work with interdisciplinary teams (analytical chemists, clinical, biostatistics and bioinformatics scientists). Your future tasks: Active participation in research, teaching & administration, which means: You are involved in research projects and scientific studies in the area of single cell analysis. You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready habilitation. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You supervise your students. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctoral/PhD studies in subject Chemistry, Analytical Chemistry or similiar qualification Outstanding dissertation Experience in research management and in leading project staff Didactic skills / experience in e-learning IT skills and excellent MS Office skills, dat Knowledge of: mass spectrometry and analysis of complex data sets (for example: ICP-MS, LA-ICP-MS, MS-Imaging, Metabolomics, Lipidomics) is a significant advantage  Excellent knowledge of German and Englisch (C1)  Team player and high social/communicative skills, strong communication for data presentation, visualization and written skills What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid (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 for now (year 2025) of EUR 4,932,90 (14 times a year) for a period of 6 years increases if we can credit professional experience. Equal opportunities for everyone: We look forward to diverse personalities in the team! It is that easy to apply: With your scientific curriculum vitae / letter of intent With your list of publications With your summary of research interests (max. 1 p.) Doctoral Degree Contact details of persons who could provide referece letter Via our  job portal / Apply now - button If you have any content questions, please contact: Gunda Köllensperger gunda.koellensperger@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection ​Application deadline: 01/02/2026 Post Doc

Ref.: 533919 Work type: Full-time Department: School of Humanities (05200) Categories: Professoriate Staff Applications are invited for appointment as Professor/Associate Professor on tenure terms or tenure-track Assistant Professor in Modern and Contemporary Art History in the School of Humanities (Art History) (Ref.: 533919), to commence in August 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. Applicants should possess a PhD degree in Art History or a related field. The position is open to all subfields, preference will be given to candidates with the ability to teach introductory courses in modern and contemporary art of Europe and the Americas. The appointee will also supervise postgraduate students and should exhibit a strong interest in, and commitment to, integrating digital technologies and AI into teaching and research. The successful candidate will be expected to develop a vigorous, independent research programme; excel in undergraduate and postgraduate teaching and curriculum development; and undertake administrative duties as required. The normal teaching load is three undergraduate courses, in addition to advising undergraduate and postgraduate students. Information about the Department can be found at https://arthistory.hku.hk/. Enquiries may be directed to Professor Yeewan Koon, Chairperson of the Department of Art History (e-mail: koonyw@hku.hk). 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. Other benefits include annual and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided where applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, an up-to-date CV, a research statement, a teaching statement, up to two of their most significant recent publications, and contact information for at least three referees. Review of applications will begin on February 27, 2026 and continue until March 31, 2026 or until the post is filled, whichever is earlier.

About Us ​​The Digital Health Hub Training Manager will play a key leadership role within the EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH), contributing to the professional services leadership of the Hub’s training arm. The role supports the delivery of skills development for individuals working at the healthcare-industry interface, fostering collaboration between digital innovators and the healthcare workforce to address real-world challenges in digital health. Sitting within a collaborative, multi-disciplinary environment, the Training Manager will work closely with colleagues across the Hub’s core pillars (Training, Co-design, Translation, and Acceleration) to ensure impactful and integrated training delivery aligned with the Hub’s overarching goals.  ​​About the role This role is an exciting opportunity to contribute to the professional services leadership of our EPSRC-funded King’s Health Partners Digital Health Hub (KHP DHH) as the Training Manager.  The training component of this Hub focuses on identifying and delivering the skills needed to train problem solvers who address real-life challenges at the healthcare–industry interface. The goal is to support the development of proactive individuals who can use relevant data and technologies to tackle real problems in digital health. Digital innovators and the healthcare workforce work together in a multi-disciplinary environment to develop safe and scalable solutions. The training arm of the Hub works collaboratively with the other Hub arms, including AI training, co-design strategies, entrepreneurship, industrial partner engagement, Patient and Public Involvement & Engagement (PPIE), digital health innovation, and the research pilots embedded in the Hub. The four core pillars are Training, Co-design, Translation & Acceleration.  Organised and delivery-focused, you will join an established team and bring experience in gathering, interpreting, and presenting data to demonstrate impact. Experience of matrix working would be beneficial, as the programme facilitates collaborative efforts to identify and overcome barriers to effective integration and translation across disciplines. You will work closely with subject matter experts and the learning technologist to maintain and enhance existing asynchronous training resources, as well as create new engaging materials for a range of audiences in digital health. The role also supports the delivery of in-person training, from advertising and bursary coordination to post-course feedback collection.  The successful candidate will collaborate with the learning technologist to understand the learning objectives of course participants and engage with supporters, patients, and the public in workshops led by participants. These workshops provide opportunities to share learning experiences and offer feedback on the structure and content of the taught material.  Onsite working will be required for effective collaboration across the Digital Health Hub, with the expectation that the successful candidate will work onsite at least three days per week.  This is a full time post (35 hours per week), and you will be offered ​a fixed term​ contract until 31.03.27. About You ​​To be successful in this role, we are looking for candidates to have the following skills and experience:  Essential criteria ​Strong project/programme management experience, including good IT skills (Microsoft suite). ​A degree in a science or health-related field, or relevant experience, and familiarity with medical/scientific/AI terminology. ​Customer focused, with excellent communication skills both verbal and written: ability to write coherently, and in good English, to a range of audiences across a range of academic disciplines. ​Proactive, ability to work independently, problem solve and use initiative. ​Experience of managing relationships with a range of stakeholders. ​Experience of impact/non-financial outcomes measurement, analysis and reporting ​Experience with communication strategies, such as effective use of social media and websites ​Budget management experience.  ​Desirable criteria ​Knowledge of AI, and knowledge of evaluation and impact measurement techniques and analysis. ​Marketing and market research experience. ​Experience of designing or commissioning education or learning events. ​Web design and UX skills. ​Line management experience and experience of matrix working. ​Downloading a copy of our Job Description ​Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.  Further Information ​​We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. ​We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. ​As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.  ​We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £53,947 - £63,350 per annum, including London Weighting Allowance Job ID: 134826 Close Date: 11-Jan-2026 Contact Person: ​Professor Rebecca Oakey Contact Details: Rebecca.oakey@kcl.ac.uk​