Drake University

Job Purpose The Professional Officers Division (POD) houses a centralized pool of academic staff under the Professional Officers scheme. Professional Officers come with specialised and deep technical skills acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT, complementing the academic expertise of the faculty to bring industry practices and applications into the curriculum. Professional Officers leverage on their industry experiences to create authentic learning environments, where discovery and innovation take place. They act as coaches and mentors to students during practical learning activities such as laboratory sessions, Capstone Projects and the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in applied learning and applied research, Professional Officers manage the centralised laboratory facilities and resources in SIT. With Technical Officers, laboratory safety professionals, and administrators in POD, they jointly develop central policies and processes for the safe and seamless operation of laboratories in SIT. Key Responsibilities Design and teach labs & practice modules. Mentor students in Capstone Projects and the Integrated Work Study Programme (IWSP). Lead or co-lead innovation projects with industry. Manage labs and equipment to support academic programmes and applied research. Ensure safety in labs. Job Requirements Education & Certifications: Bachelor’s or Master’s Degree in Cybersecurity, Information Security, or related fields from a recognized University. Industry certifications like OSCP, CISSP, or CEH are a plus. Experience: At least 5+ years of experience in security analyst, preferably with exposure to cybersecurity applications. Proven experience as a Certified Security Analyst or in a related role, with a strong understanding of industry best practices, cybersecurity frameworks, IoT Security, OT Security, and Mobile Security. Strong understanding of cryptography, including symmetric and asymmetric cryptographic primitives, protocols, and PQC. Experience with adversarial machine learning techniques and defenses. Clear understanding of information security principles and the cyber technology landscape. Ability to develop and enforce security policies, conduct security awareness training, and stay updated on emerging cyber threats and hacker methodologies. Experience in developing and enhancing frameworks or standard operating procedures (SOPs) for handling cybersecurity incidents in different industries. Soft Skills & Mindset: Passionate about cybersecurity, technically hands-on, willing to learn, and curious about the inner workings of Enterprise/OT/Telecommunications technologies and exploiting their vulnerabilities. Strong interest in supporting research and academic projects, with the ability to adopt and manage new security technologies. Willingness to pursue professional certifications in cybersecurity governance, such as CISSP, OSCP, CSSP (Industry certifications are an added advantage). Actively participate in cybersecurity-related projects or organizations, such as CSIRT (Computer Security Incident Response Team), ISACA, or ISC2.

The University of Vienna is a cosmopolitan hub for more than 11,000 employees, of whom around 7,700 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 an University Assistant Predoc at the Department of Communication 49 Faculty of Social Sciences Startdate: 01.06.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.05.2030 Reference no.: 5491 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,700 academic staff members so far. They see themselves as personalities who need space for continuous striving for top international research and scientific excellence. At the same time they enjoy support and liberties that are not a given at other institutions. Your personal sphere of influence The University of Vienna Research Platform ‘Trustworthy Science Communication’ announces a PhD position  at the Department of Communication.  Members of the research platform will conduct science communication research with a specific focus on the question of trust in science. This research will be interdisciplinary, and led by researchers in Communication Science, Computer Science, Psychology, and Science and Technology Studies. Together, we will examine public trust in science through cutting-edge research on science communication. Our research will be built on the understanding that public trust in science is complex, shaped by perceptions of trustworthiness, communication practices, and shifting social and political contexts. Trust cannot be assumed or manufactured; it must be earned through consistent integrity, transparency, and responsiveness. Because political developments, media narratives, and societal change continually challenge the relationship between science and the public, trust must be actively maintained. Addressing this challenge requires an interdisciplinary approach, as trust in science is conceptualized differently across fields. By integrating these perspectives, this platform aims to advance research on the foundations and practice of trustworthy science communication. Applicants should be able to demonstrate interest in or experience with public science communication, the capacity to carry out interdisciplinary research, and the research skills necessary to complete a PhD. The successful candidate for this position will be employed by the University of Vienna and their research project will be supervised by an interdisciplinary supervisory team from the University of Vienna. The position is advertised to the extent of 30 hours/week (75%) for a period of four years. The anticipated start date is in June 2026. Your future tasks You actively participate in research, teaching & administration, which means: Conduct science communication research focusing on how mediated communication and public discourse shape trust in science; we in particular aim to examine the political dimensions of science communication, including how political actors use scientific knowledge to legitimize ideas and how science communication is entangled with broader information challenges such as mis- and disinformation and societal polarization. We expect you to join the Vienna Doctoral School of Social Sciences and conclude a doctoral thesis agreement within 12 months. You work on your dissertation and its completion. You hold courses and examinations independently and (co-)supervise students within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research and teaching.  You become an active team member of the Research Platform "Trustworthy Science Communication and the Department of Communication, a subunit of the Faculty of Social Sciences. This is part of your personality Strong interest in interdisciplinary research at the intersection of science communication and their original field of study. Ability to work independently and as part of a research team in a collaborative environment. Proven ability to manage complex projects, prioritize tasks, and meet deadlines. Excellent verbal communication skills for interdisciplinary collaboration and presenting research findings. Excellent English skills, both written and spoken. In addition, the following specific requirements apply to the position advertised here Relevant Master’s degree (e.g. Communication Science, Political Science, Political Communication, or related disciplines)  Knowledge of quantitative social science research methods, e.g., surveys, experimental designs, content analysis, computational social science methods Knowledge of statistical data analysis (e.g., R, Stata, SPSS), and/or other programming skills (e.g., Python) Interest in open science principles  What we offer Work-life balanceWe offer the opportunity to work remote upon agreement (maximum of 50% of working time). Inspiring working atmosphere An internationally-oriented team and department with outstanding research infrastructure and comfortable working environment. Appreciative team culture As a team, we regularly meet for exchange during team meetings and a range of team activities (team lunch, team retreat, Christmas party, etc.). Excellent public transport connections We offer an attractive workplace in the heart of Vienna which is easily accessible by public transport. Internal further training & coaching The University of Vienna offers a wide range of opportunities for internal training as well as enhancement of personal skills. Fixed-term contract and fair salary: The basic monthly gross salary of EUR € 3.776,10 (on a full-time basis) in salary group B1 will be paid 14 times a year for a period of four years (i.e., the duration of the contract). The basic salary increases if we can credit prior professional experience. The employment duration is four years. Initially limited to 1.5 years, the employment relationship is automatically extended to four years if the employer does not terminate it within the first twelve months by submitting a non-extension declaration. It is that easy to apply With a letter of motivation that describes your previous research achievements, your research goals, your career plans, and your reasons for applying; With a complete CV, including a list of previous scientific expertise, awards, grants, stays abroad, attended lectures, attended summer schools, attended workshops, skills, and publications (if applicable); With an abstract in English of your MA/MSc thesis, BA/BSc thesis, or of a research project you were involved in; With a 1-page research pitch describing an idea for a PhD dissertation within the field of political communication research, which would fit within the research focus of the “Trustworthy Science Communication” research platform; With a complete list of finalised studies and transcripts of all grades; With 1-2 names of academic references and their contact addresses (e.g., your Master’s thesis supervisor); With any other material you think is relevant Via our job portal / Apply now - button. If you have any content questions, please contact: Sophie Lecheler sophie.lecheler@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: 05/14/2026

The Faculty of Educational Sciences invites applications for the position of Postdoctoral Researcher for a fixed-term appointment for 3 years, starting in September 2026 or as agreed. The position is embedded in the AI-EMOTION project (Academic emotions in the AI learning era). AI-EMOTION is a European Research Council (ERC) funded project at the Faculty of Educational Sciences, University of Helsinki, led by Principal Investigator Dr. Elina Ketonen. We investigate what happens emotionally when students use AI tools in learning: how affect influences engagement, motivation and interaction in AI-mediated learning situations. The project brings together expertise from learning sciences, computer science and psychophysiology. Our aim is to advance theory on affective processes in human-computer interaction and to develop novel multimodal methods to measure and model emotions in real-world learning environments.  Job description The successful candidate will investigate academic emotions and emotional well-being in technology-mediated learning, with a focus on psychophysiological indicators of emotions in ecologically valid learning settings. The position contributes to the AI-EMOTION project by combining wearable sensor data (e.g., cardiac and electrodermal signals) with event-based self-reports (experience sampling). A central task is to drive methodological development by advancing and validating sensor data processing and feature extraction workflows, and by developing approaches to integrate these outputs with self-reports to model students’ emotions beyond laboratory settings. The work duties of the selected candidate include:  Planning and implementing data collection in real-world learning contexts (including wearable-sensor measurements and experience sampling via smartphones)  Processing and analyzing wearable-sensor data (e.g., preprocessing, artefact handling, feature extraction, synchronization/alignment with experience-sampling prompts)  Statistical modelling and analyses of collected multimodal data (e.g., within-person dynamics, multilevel models, dynamic models/time-series approaches)  Publishing results in high-quality international scientific journals and presenting findings at major conferences  Supporting project coordination and administration as agreed (e.g., contributing to reporting, documentation, data management practices, project deliverables)  Teamwork within the multidisciplinary research group (e.g., learning sciences, educational psychology, computer science)  Small-scale supervision and/or teaching tasks as agreed (e.g., co-supervision of theses, supporting research training within the project).  Qualification requirements and selection criteria We are looking for a creative and forward-thinking post doc who has (or is close to completing) a PhD in a relevant field (e.g., educational sciences, psychology, cognitive science, health sciences/biomedical engineering, data science) and demonstrate the ability to conduct independent, innovative and high-quality research. The successful candidate should have expertise in psychophysiological measurement and/or wearable-sensor data analysis, including signal processing and feature extraction, and a strong interest in studying emotions and well-being in technology-mediated learning, with a particular focus on AI. Excellent written and spoken English, as well as strong communication and collaboration skills, are essential given the interdisciplinary nature of the project. Experience with multimodal data integration, research with relevance to the project area and demonstrated experience of methodological development are considered merits. The position involves some fieldwork with study participants across the University of Helsinki’s campuses during the data collection, and regular on-site work at the University of Helsinki City Centre Campus. The appointee is expected to reside in Finland while employed by the University of Helsinki. The Faculty of Educational Sciences provides assistance in relocation. We offer The position offers a unique opportunity to work as part of an eager and ambitious team and contribute to delivering breakthrough research within an ERC-funded project.  The Faculty of Educational Sciences is a dynamic, inspiring and international working and studying environment that has invested in state-of-the-art research and teaching infrastructure. We encourage our staff to make bold and creative decisions while exercising high standards of ethical conduct in research, teaching and community relations.  Salary is based on level 5 in the requirement scheme for teaching and research positions in the salary system of Finnish universities. In addition, the appointee is paid a salary component based on personal performance. The gross monthly salary will be approx. 3,570 € - 4,010 € depending on the appointee’s qualifications and experience. A 6-month probation period is applied.  The University of Helsinki provides its staff with occupational health and fitness services, professional development opportunities, as well as a first-class research and teaching environment and the conditions necessary for international cooperation. Read more about work at our university. For international applicants we offer relocation services and support in settling-in, training and other events especially designed for our international staff members, a special UniBuddy-program and specialized support for spouses (HEI LIFE Spouse Network). You can find more information here.  How to apply  The application, together with the required attachments, must be submitted through the University of Helsinki recruitment system by clicking on the link below. Internal applicants (i.e., current employees of the University of Helsinki) must submit their applications through the SAP Fiori portal. Please note that all application documents must be submitted as a single PDF file either in Finnish or English, named as lastname_postdoc_AIemotion. Make sure to attach the PDF to the position you’re applying for in the recruitment system. Please include the following documents in your application:  A statement of motivation and competence (max. 750 words): your motivation for applying for the position, expected contribution to the project and key skills relevant to the position (especially wearable sensor/signal analysis and multimodal methods)  A CV (with contact information of two references) A list of publications with key publications relevant to the position highlighted  A brief research/development plan (max. 500 words): how you would develop methods for joint analysis of sensor data and experience-sampling (ESM) self-reports to advance multimodal emotion modelling within the project?  Kindly see instructions for the attached documents. Other attachments, including letters of recommendation or certificates, are not required at this point. We appreciate a self-written application that reflects your own voice and thoughts. The closing date for applications is May 31, 2026. Top candidates will be invited to an interview, which will be held either on site or remote in June 2026.  A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions.  Further information  Should you have any questions about the position, please contact Principal Investigator, Dr. Elina Ketonen (elina.e.ketonen@helsinki.fi)  In questions related to the recruitment process, kindly contact HR Specialist Hector Nystedt (hector.nystedt@helsinki.fi)  Click this link to read about accessibility and inclusivity at our University. Why Finland Finland is a member of the EU, has high quality and inexpensive childcare, free schooling and tertiary training (also in English), excellent family benefits and healthcare, and is ranked as one of the top countries in the world for expat families. Finland also repeatedly tops the World Happiness Report. Read more about why Finland is a great place to live and work.