Tarbiat Modares University

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral - Research Platform 'Trustworthy Science Communication' 39 Faculty of Computer Science Startdate: 01.06.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5466 Explore and teach at the University of Vienna, where more than 7,500 academics thrive on curiosity in continuous exploration and help us better understand our world. Does this sound like you? Then join our accomplished team! Your personal sphere of influence: The University of Vienna Research Platform ‘Trustworthy Science Communication’ announces a PhD position at the Faculty of Computer Science, Research Group Visualization and Data Analysis. 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. We invite applications for PhD projects located in and beyond each of the participating disciplines. All PhD candidates will work with an interdisciplinary supervision team and may join one of the doctoral schools at the University of Vienna. 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. Further details of each position are provided below. The successful candidate for this position will be employed by the Faculty of Computer Science and their research project will be supervised by an interdisciplinary supervisory team from the University of Vienna. The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. Your future tasks: You actively participate in research, teaching & administration, which means: Conduct science communication research focusing on trust and trustworthiness in digital and data-driven environments, particularly in relation to data visualizations. Design and implement empirical studies to examine how scientific information is interpreted and trusted, with special attention to data literacy and its role in strengthening citizen agency. We expect you to join the Vienna Doctoral School of Computer Science 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 Research Group Visualization and Data Analysis, a subunit of the Faculty of Computer Science. This is part of your personality: All candidates in the Research Platform are expected to have the following qualifications as part of their profile: 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., Computer Science, Data Science, Digital Humanities, or related disciplines) Knowledge of quantitative and qualitative research methods, e.g., survey design, interviews, ethnography, or mixed-methods approaches Knowledge of statistical data analysis (e.g., R, Stata, SPSS), and/or other programming skills (e.g., survey scripting) Strong interest in questions of trust and trustworthiness, AI and society, and science communication in digital environments Interest in open science principles Experience with academic writing and familiarity with publishing processes What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. 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 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. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) 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 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 data-driven science 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 questions, please contact: Torsten Möller torsten.moeller@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: 05/14/2026 Prae Doc

The Faculty of Humanities and the Faculty of Science at the University of Helsinki invite applications for the position of RESEARCH FELLOW (UNIVERSITY RESEARCHER) OR POSTDOCTORAL RESEARCHER IN THE AREA OF TRUSTWORTHY AI ACROSS LINGUISTIC AND CULTURAL DIVERSITIES for a fixed term period 1 January 2027 – 31 December 2030. The Faculty of Humanities and Faculty of Science invite applications for a joint (50%:50%) position as Research Fellow in trustworthy AI across linguistic and cultural diversities within the research action Diversity in Society and Life (DIVSOL). We seek an experienced scholar with expertise in developing artificial intelligence and a demonstrated interest in advancing research methods through interdisciplinary collaboration. We primarily seek to appoint at the Research Fellow level, but Postdoctoral Researcher candidates with strong research experience after doctoral degree will also be considered. The appointed researcher is expected to contribute, from the perspective of AI methods development, to the interdisciplinary research across two or more thematic areas of DIVSOL (see https://www.helsinki.fi/en/diversity-society-and-life/research for more detailed description of the thematic areas). The position involves methodological development in the context of humanities, especially linguistic and cultural diversities across time and space, AI research in low-resource scenarios (e.g., focusing on minoritized and under-resourced communities), and developing methods for diminishing the digital divide in research and society by developing reliable and trustworthy AI. The position contributes to advancing methodological innovation through the creative use of machine learning, AI, and other algorithmic techniques. In line with the interdisciplinary and reflexive ethos of DIVSOL, attention to the societal implications of AI is an important dimension of all research. RESPONSIBILITIES The appointed researcher is expected to pursue independent research on methodological innovation in developing and applying AI methods in humanities, typically in collaboration with existing research groups at the university. Relevant research groups include but are not limited to the following: Computational History, Cross-Lingual NLP, Finno-Ugrian Linguistics, Human Sciences – Computing Interaction, Probabilistic Machine Learning Lab, Scientist in the Loop – Automation of Scientific Discovery. Concrete examples of data sources include historical and born-digital records, databases, resources in minoritized languages, and location or mobility data, with a particular interest in combining different data sources. As the data may include sensitive information, attention to ethical and legal issues is required. In addition to DIVSOL, the appointed researcher participates in the joint activity of the university-wide AI Research Lab that supports the use of AI in scientific research. It will involve roughly ten researchers, three of whom will jointly develop AI in scientific research in the context of DIVSOL. The Lab works in close collaboration with the broader machine learning and AI research community at the university, including software engineers and various support services. The daily working activities of the appointed researcher will be split between the Faculty of Humanities and the Faculty of Science. The researcher will also contribute to teaching and administrative tasks (up to 5% of their working time annually). It is possible to complete the teaching and administrative tasks in English. QUALIFICATIONS An ideal applicant has: A doctoral degree in a suitable field. Research experience after completing the doctoral degree is necessary. Scientific competence in developing and applying artificial intelligence methods with proven publication record in scientific venues in the field, as well as practical programming skills. We expect publication record in top-tier venues in one or more areas relevant for the position: computational linguistics and NLP (ACL, COLING, EMNLP, CL, TACL, or similar), machine learning and AI (NeurIPS, ICML, ICLR, JMLR, or similar), and AI in humanities (Digital Scholarship in the Humanities, Journal of Cultural Analytics, or similar). Applicants with publications in a closely related field, but not exactly within the scope of the position, are asked to describe clearly why their background is suitable for the position. Applicants are expected to describe their research interests, to explain how these relate to the scope and topic of the position, and to specify how they envision collaboration with existing research groups at the University of Helsinki. A vision of the role of AI in the application domain and an outline of planned research relating specifically to the use of AI in scientific research, for instance development of AI methods for commonly recurring tasks in the field, human-AI collaboration in scientific research, or development of open-source tools for AI4Science. Teaching skills. For Research Fellows (University Researchers), the ideal applicant has (in addition to the above listed requirements): A. Demonstration of additional scholarly activity, such as evidence of independent research activity, the ability to lead a research group, activities in Finnish or international research groups or networks, and experience in the acquisition of research funding. B. Evidence of public engagement. WHAT WE OFFER University of Helsinki is an equal opportunity employer and offers an attractive and diverse workplace with a variety of development opportunities and benefits. The appointee’s gross annual salary will, in practice, for Postdoctoral Researcher range from €42,000 to €49,000 and for Research Fellow (University Researcher) range from €54,000 to €64,000, depending on their previous experience and qualifications. Standard Finnish pension benefits and occupational health care are provided for university employees. Further information can be obtained online. The employment contract will include a probationary period of six months. Finland is a member of the European Union, has high quality free schooling (also in English) and generous family benefits and healthcare. Finland was recently ranked as the best country in the world for expat families, and Helsinki in the world’s top ten most livable cities. Finland and the Helsinki region feature leading research and innovation facilities, clean environment, affordable accommodation, and excellent international, national, and local transport connections. For more information about working at the University of Helsinki and living in Finland, please see the website. The appointee is expected to reside in Finland while employed by the University of Helsinki. International staff are supported in relocating to Finland. HOW TO APPLY Please submit your application, together with the required attachments, 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 31 May 2026. The following documents in English are required and must be included in the application: A curriculum vitae List of publications An accompanying 2–4-page document addressing the qualification points 1-5(6) above and specifying which position you apply to (Research Fellow or Postdoctoral Researcher). The names, positions and contact details of two referees Other attachments, such as letters of recommendation or other certificates, are not required at this point. FURTHER INFORMATION Further information about the positions and the research project may be obtained from Professor Kaius Sinnemäki at the Faculty of Humanities (DIVSOL director, kaius.sinnemaki@helsinki.fi), and from Professor Arto Klami at the Faculty of Science (Director of the AI Research Lab, arto.klami@helsinki.fi). Further information about the recruitment process can be obtained from recruitment@helsinki.fi (please indicate the position name in the title field of the message). The research action Diversity in Society and Life (DIVSOL) is a research community for transdisciplinary research on ethnic, cultural, linguistic, religious and socio-ecological diversity. It offers new insights into the nature and challenges of the multiple diversities – linguistic, cultural, religious, biological – that characterise societies and urban environments, and will contribute to the development of multi-level sustainable policies for human flourishing. DIVSOL is coordinated by the Faculty of Humanities and includes all SSH units (Humanities, Education, Law, Theology, Social Sciences, the Swedish School of Social Science, and the Helsinki Institute for Social Sciences and Humanities) as well as the Faculties of Science, and of Biological and Environmental Sciences of the University of Helsinki. 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