Al Shamal Private 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.  Job Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.• Undertake these responsibilities in the project: i. Lead and support high quality publications to disseminate the applied research outcomes. ii. Plan, organize and carry out experiments and trials in the food pilot plant to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Job requirements Have relevant competence in the areas of protein chemistry, analytical chemistry for amino acid profiling, polyphenol profile analysis, SDS-PAGE, and protein hydrolysis. Have a degree in Food Science and Technology, or Analytical Chemistry. Possessing a Master's or PhD degree will be advantageous Experience and Knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry for protein sequencing, carbohydrate/Sugar analysis, and polyphenol identification. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Able to communicate with industrial collaborators to share key findings, seek supports, or conducting commercial trials. 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 Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. 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 Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.

At the University of Vienna, almost 11,000 people work together on the big questions of the future. Approximately 7,700 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an ... University Assistant postdoctoral 45 Faculty of Philological and Cultural Studies Startdate: 01.05.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 30.04.2032 Reference no.: 5326 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your area of responsibility As a postdoctoral university assistant (40 hours, full-time), you will work in research, teaching and administration at the Department of Near Eastern Studies of the University of Vienna. As a center for the study of the Near and Middle East, including North Africa, the Department of Near Eastern Studies at the University of Vienna is not only the only institution of its kind in Austria, but also one of the largest such centers in Central Europe. Our research and teaching focuses on Ancient Near Eastern Studies, Arabic and Islamic Studies, as well as Turkish and Ottoman Studies. The Department of Near Eastern Studies is part of the Faculty of Philology and Cultural Studies of the University of Vienna. Through numerous research collaborations with academic institutions worldwide, the department is well connected internationally. Staff and students appreciate the diversity of subjects taught, the interdisciplinary outlook, as well as the international and collegial nature of exchange at our department. Your responsibilities will include supporting the Chair of Cultural and Intellectual History of the Islamic World in research and teaching, including student supervision and participation in administrative duties at the department. You will be expected to teach independently and to establish and develop an independent research profile in the field of cultural and intellectual history of the Islamic world. Your future tasks: You will actively participate in research, teaching and departmental administration. This means: Supporting the Chair in Cultural and Intellectual history of the Islamic World. Developing an independent research profile in the field of Cultural and Intellectual history of the Islamic World. International publication and lecturing activities. Participation in the FWF Cluster of Excellence ‘EurAsian Transformations’. Supporting the acquisition of third-party funding. Preparing a habilitation in the field of Cultural and Intellectual history of the Islamic world. Preparing and carrying out teaching duties (in accordance with the provisions of the collective bargaining agreement of the university scientific staff). Supervising students. Participation in evaluation measures and quality assurance. Administrative tasks in research and teaching. This is part of your personality: Completed doctoral/PhD studies in Islamic Studies or a related discipline with a focus on Islamic cultural or intellectual history Excellent knowledge of Arabic, as well as knowledge of another language (e.g. Persian, Turkish) Outstanding dissertation Research focus on the religious, cultural and intellectual history of the pre-modern Islamic world Research expertise, as demonstrated through international (peer-reviewed) publications & independent research initiatives Experience in research management Experience in organising workshops, conferences and lecture series Experience in independent teaching; excellent teaching skills Excellent English skills; a high level of written and oral communication skills Good German skills, or a commitment to achieve B2 level German within three years of the start date  What we offer: Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (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 of EUR 5.014,30 (14 times a year) for a period of 6 years 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 your cover letter (max. 2 pages) With your curriculum vitae With your list of publications With a summary of research interests and a short description of your project for habilitation (max. 3 pages, excluding literature) With your PhD dissertation, and confirmation of the completion of your PhD/doctoral degree Contact details of two referees Via our job portal / Apply now - button If you have any questions, please contact: Katharina Ivanyi katharina.ivanyi@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: 03/12/2026 Post Doc