Abilene Christian University

Department: School of Engineering Grade: 6/7 (£33,020 - £41,086 per annum) Responsible to: Principal Investigator Campus: Belfast Reference: 042306 (Full-Time, Fixed term for 24 months) - ABOUT US - We are a university with a national and international reputation for excellence, innovation and regional engagement, making a major contribution to the economic, social and cultural development of Northern Ireland. Our core business activities are teaching and learning, widening access to education, research and innovation and technology and knowledge transfer. - THE ROLE - The Research Associate will contribute to the development, implementation, and calibration of a novel multifrequency open-loop Kelvin Probe Force Microscopy (MF-OL-WT-KPFM) technique for advanced nanoscale electrical characterisation. The role will involve close collaboration with Dr Amir Farokh Payam to design hardware and software components of the proposed scanning probe microscopy methodology and to establish calibration protocols. The postholder will also lead the preparation and experimental characterisation of perovskite solar cell materials and devices, using the developed MF-OL-KPFM platform to investigate charge transport, photovoltage dynamics, and surface potential variations. The role includes contributing to data acquisition, signal processing, and analysis of nanoscale electrical phenomena to advance understanding of advanced energy materials. This position is funded through a UKRI FLF Fellowship and thus offers opportunities for further training and career development. The provisional start date for this position is 1st October 2026. - ABOUT YOU - PhD in Physics, Materials Science, Nanotechnology, Mechanical/Electrical Engineering, or a closely related discipline. Experience in experimental research related to nanomaterials, semiconductor devices, or advanced materials. Experience in data analysis and interpretation of experimental measurements. Evidence of research outputs such as peer-reviewed publications, conference presentations, or technical reports. Demonstrable contribution to collaborative research projects. Please find our employee benefits here: Employee Services & Benefits (ulster.ac.uk) Ulster University holds a Silver Athena SWAN award in recognition of our commitment to advancing Gender equality in higher education. You can read more about what this means at https://www.advance-he.ac.uk/equality-charters/transformed-uk-athena-swan-charter and on our University website https://www.ulster.ac.uk/peopleandculture/employee-benefits/equality-diversity/athena-swan. The University has a range of initiatives to support a family friendly working environment, including flexible working. The University is an equal opportunities employer and welcomes applicants from all sections of the community, particularly from those with disabilities. Appointment will be made on merit.

The Faculty of Social Sciences at the University of Helsinki invites applications for the position of POSTDOCTORAL RESEARCHER IN COMPUTATIONAL SOCIAL SCIENCES for a fixed-term appointment from 1 September, 2026 to 29 February, 2028, or as agreed. We are seeking a highly motivated Postdoctoral Researcher with expertise in computational social science, particularly text-as-data approaches, to contribute to the next phase of Seeing Like a Tech Firm: Advocacy in the Era of Platform Capitalism (SEE TECH) project led by Academy Research Fellow, Dr. Matti Ylönen. About the project SEE TECH examines how large technology firms (“Big Tech”) influence political processes, regulation, and public discourse, with a particular focus on Europe. The project combines political economy, international political sociology, and regulatory studies to analyze how firms shape policy agendas, knowledge production, and governance frameworks. To date, the project has conducted over 100 elite interviews and produced early academic outputs on corporate influence and platform governance. The next phase of the project expands the empirical scope through computational and digital methods, enabling large-scale analysis of corporate advocacy, lobbying, and discourse. More information: www.see-tech.fi Position summary The position offers substantial intellectual independence and the opportunity to shape a cutting-edge research agenda at the intersection of political economy and data science. While we do have some specific ideas, the exact research tasks could also be partly tailored based on the key expertise of the selected applicant. The successful candidate will: Work with large-scale text corpora (e.g. our interview data, submissions, policy documents, corporate publications, media content) Possibly conduct network analysis Integrate computational findings with qualitative and interview-based research already conducted in the project Key responsibilities Conduct original research using computational methods Build and curate datasets relevant to corporate political activity Collaborate with the PI and research team Co-author academic publications and contribute to dissemination Participate in project meetings, seminars, and workshops Contribute to broader project outputs (policy briefs, events, etc.) Qualifications Required: PhD in International Political Economy, World Politics, Data Science, or related field Strong skills in computational methods, especially text analysis and possibly network analysis Programming skills (e.g. Python or R) Demonstrated ability to produce high-quality academic research Excellent written and spoken English Preferred: Familiarity in research in political economy, corporate power, or digital governance Familiarity with EU policy processes or global economic governance Experience combining qualitative and computational approaches Knowledge of Finnish, French, and/or German What we offer An interdisciplinary research environment at one of Europe’s leading universities Opportunities to collaborate internationally and engage with policy audiences Flexibility to develop your own research within the project’s themes The annual gross salary range will be approx. €46,000 – €52,000, depending on the appointee’s qualifications and experience. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. Access to high-quality computational infrastructure and research support The position is based in Helsinki (i.e. the candidate must live in Helsinki or be willing to move to Finland), with flexibility for short research stays abroad. The employment contract will include a probationary period of six months. How to apply Please submit your application through the University of Helsinki Recruitment System via the link "Apply now" (“Hae nyt”). Use your current email address to register to the Recruitment System. Only applicants who are currently employed by the University of Helsinki are requested to submit their application via the link “Employee login”. The closing date for applications is Wednesday 27 May, 2026 at 23.59 local Helsinki time (EEST).  Applicants are requested to submit the following documents in English: Cover letter (max. 2 pages) CV (including publication list) Short research statement (1–2 pages), outlining:  relevant expertise methodological strengths ideas for contributing to SEE TECH One writing sample (article, paper, or chapter) Optional: links to code repositories or data projects. Further information Further information about the position can be obtained from Academy Research Fellow Matti Ylönen, matti.v.ylonen@helsinki.fi. 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. Click this link to read about accessibility and inclusivity at our University. JOIN US TO BUILD A BETTER WORLD – TOGETHER! #HelsinkiUniCareers

Ref.: 536148 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Full-time Teaching Assistant in the School of Computing and Data Science (several posts) (Ref.: 536148) ( to commence as soon as possible, on a one-year temporary full-time basis, with the possibility of renewal) Applicants should possess a good Bachelor’s degree in Computer Science or a related discipline. Good written and spoken English, along with good communication skills, are essential. Preference will be given to those with relevant experience in teaching support and a background in AI literacy. The appointees will report to the Course Coordinator of AI literacy courses. Their main role is to assist faculty members with course preparation and delivery, conduct tutorials and support student learning, grade assignments and examinations, provide constructive feedback to students, maintain course-related records and databases, and facilitate communication between students and faculty members. They will also assist in organizing workshops and seminars, and perform any additional duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until June 15, 2026, or until the posts are filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency