Maqsut Narikbayev University

Department: Biology Vacancy ID: 039583 Closing Date: 08-Feb-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. The University Tutor in Department of Biology will play an important role in the delivery of the Department’s degree programmes and will be appointed for the primary purpose of contributing to teaching within a clear and established teaching programme by providing tuition and/or demonstrations to groups of, usually undergraduate students, in specific aspects of the programme. The University Tutor will assist and support students to further develop their understanding of key course topics and to draw out key learning points from course materials. University Tutor:   €45,051– €57,348p.a. (1-7 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 8th of February 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Enable real-time adaptive learning via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Hands-on experience in designing and implementing software systems involving multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud-based applications (e.g., AWS, Google Cloud, Microsoft Azure), including containerization (Docker), orchestration (Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software development and debugging skills. Able to design modular, scalable systems and benchmark their performance. Proficient in technical writing and system documentation. Self-directed learner with strong problem-solving and research capability.

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 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 56 Faculty of Mathematics Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.06.2030 Reference no.: 5062 The Faculty of Mathematics at the University of Vienna is the largest Austrian institution of mathematical research and tertiary education in the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete applications in industry. As part of the Faculty, the Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields. We are looking for an open, innovative, and productive colleague who enjoys working in an international and interdisciplinary environment. Does that sound like something for you? Apply to join our team! Your professional field of activity: The announcement comprises up to three PhD positions associated with the Faculty of Mathematics and, more specifically, with the Vienna School of Mathematics (VSM https://www.vsmath.at), for general enquiries please contact Prof. Dr. Andreas Cap. We are looking for independent scientists with a strong interest in research. For the purpose of this announcement, the VSM has asked its supervisors to submit proposals for directions for PhD projects, the collected suggestions are available online via https://www.vsmath.at//media/vsm_positions_jan26.html. The aim for filling up to three announced positions is to find excellent combinations of candidates and projects. Therefore, an application is only possible for specific projects from that list. Each candidate is allowed to apply for at most three of the projects. Successful candidates will be employed for a specific project, which also defines the requirements for the position. Each of the announced positions is planned to be for 4 years; the initial employment duration will be 1.5 years and the employment will automatically be extended to a duration of 4 years unless the employer issues a non-extension notice within the first 12 months of the employment. The envisaged employment date is October 1, 2026, in special cases earlier starting may be possible. The master study has tobe completed before the beginning of the employment, this must be conceivable at the time of the application. Your future tasks: Active participation in research, teaching & administration, which means: Research: participation in research activities depending on the chosen project signing of a doctoral thesis agreement within 12 - 13 months becoming a member of the VSM and actively participating in its activities and its administration International and Interdisciplinary Collabortion: willingness to participate in international and (depending on the project) interdisciplinary or applied research participation in international conferences and workshops Teaching and Administration: conducting of examinations as well as participation in teaching evaluations and in administrative tasks independent teacing of course (holding classes due to extent regulations of wage agreement). Required Qualifications/Position Requirement: Diploma or master degree in mathematics, completed and certificate provided in due time before the start of the contract High level of competence in the area of mathematics appropriate for the chosen project(s) Excellent command of English, both written and spoken You are a team player with high social and communicative competence. You are goal-oriented and have a high motivation to strive for scientific excellence. You are not entitled to compensation for travel and accommodation expenses incurred in connection with the admission process. What we offer: Employment: 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 nonextension declaration. Work-life balance: The compatibility of work and private life or work and study is a particularly important concern for us. In consultation with the team and team management, you can therefore organize your working hours flexibly and in a family-friendly manner and also work partially work from home within the universty's respective framework.  Inspiring working atmosphere: You are part of an international team with excellent research infrastructure in a relaxed working environment. Good public transport connections: Your new workplace is easily accessible by public transport. Climate neutrality - sustainability: The University of Vienna contributes to the achievement of climate goals by means of an adopted sustainability strategy and aims to achieve climate neutrality by 2030 through the reduction of resource consumption, resource-saving and sustainable procurements. Fixed-term contract and adequate salary: The basic salary corresponds to the collective agreement for employees of the universities according to § 48 VwGr. B1 basic level (praedoc): EUR 3.776,10 on a full-time basis (14 times per year). The actual salary is finally determined depending on professional experience and qualification. The gross salary covers all benefits of the employee in quantitative and qualitative terms (= all-in payment). Internal training and coaching: We offer you ongoing opportunities to deepen your skills. Choose from an extensive range of courses free of charge. Benefits: The University of Vienna also offers you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language center, advancement of women, diversity management and specific career advancement, inclusion, Papamonat, flexible childcare, vacation care for children, health care, vaccination campaigns and fitness offers (special rates for USI sports courses) as well as discounts for employees at various companies. Equal opportunities for all: We welcome every additional personality to the team! Is your interest in this attractive and varied field of activity with autonomous areas of responsibility now aroused? Would you like to take on this new challenge? We are looking forward to your application: with your letter of intent that also explains the choice of project(s), your scientific CV with publications list if relevant, higher education certificates, diplomas two letters of recommendation have to be sent directly by recommenders to office@vsmath.at before the application deadline either: via our job portal by clicking on "Create Profile - Login & Logout" in the header on the upper right, or directly in this job posting by clicking the "Apply now" - Button on the bottom right side. If you have any questions, please contact: Andreas Cap andreas.cap@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: 02/28/2026 Prae Doc https://www.vsmath.at//media/vsm_positions_jan26.htm