Central University of Technology, Free State

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 34 Faculty of Law Startdate: 01.02.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.01.2030 Reference no.: 5048 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! The Institute for Labor and Social Law is one of Austria's leading teaching and research institutions dealing with key issues in Austrian and European labor and social law. Its wide-ranging activities in research and teaching, as well as access to a well-equipped library, enable excellent academic training and personal development. Your personal sphere of influence: As a university assistant prae doc, you will join the research team led by Univ.-Prof. MMag. Dr. Michaela Windisch-Graetz in the field of labor and social law. In addition to your independent research, you will take on tasks such as independently and supportively holding courses and exams, supervising students, and assisting with research, organizational, and administrative activities. Your future tasks: You will actively participate in research, teaching, and administration, which means: You will work on your dissertation and its completion; the conclusion of a dissertation agreement is expected within 12-18 months. You will independently hold courses in accordance with the provisions of the collective agreement. You will take on administrative tasks in research and teaching. You will participate in organizational and administrative tasks as well as evaluation measures. You will be responsible for continuing and supporting international collaborations. This is part of your personality: Completed master's/diploma degree in law Excellent knowledge of labor and social law (demonstrated, for example, by a relevant seminar paper or diploma/master's thesis) or related areas of law (in particular civil, European, and constitutional law) Particular interest in European labor and social law or the interfaces with other areas of law Initial experience in academic writing and research methods Institutional experience or experience as a student assistant in a law firm Experience in e-learning IT skills: MS Office Excellent German and English skills You are a team player with social and communication skills. What we offer: Work-life balance: Excellent work-life balance. Inspiring working environment: You will be part of an international team with outstanding research infrastructure in a relaxed working environment. Good public transport links: Your new workplace is easily accessible by public transport. Fair salary: The base salary of EUR 3,714.80 (based on full-time employment) will increase if we can take your professional experience into account. Contract duration: The contract duration for employment is 4 years. Initially limited to 1.5 years, the employment relationship will be automatically extended to 4 years if the employer does not issue a non-renewal declaration within the first 12 months. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Applying is easy: Academic resume Letter of motivation, including research interests Proof of completed master's/diploma degree (degree certificate) List of publications (if available) Via our job portal / Apply now button If you have any questions, please contact: Michaela Windischgrätz michaela.windischgraetz@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: 01/20/2026 Prae Doc

Join the University of Southampton Auditory Implant Service (USAIS) as a British Sign Language (BSL) Interpreter and Deaf Services Advisor and make a meaningful impact in the lives of cochlear implant users and their families. You will have a unique opportunity to further your career by using your clinical skills within a University setting allowing you to access up-to-date research in this field.  We have 2 part-time (21 hours) permanent vacant posts.  As a BSL Interpreter, you will play a vital role in supporting Deaf patients and their families throughout their cochlear implant journey—from assessment and surgery to rehabilitation and follow-up care. You’ll work closely with audiologists, rehabilitationist, ENT consultants, and other professionals to ensure clear, culturally sensitive communication at every stage. Your key responsibilities will include: Provide high-quality BSL/English interpreting for clinical appointments, assessments, and group sessions Support patients and families in understanding complex medical and audiological information Collaborate with multidisciplinary teams to ensure inclusive, patient-centred care Maintain accurate records and uphold confidentiality and professional standards Contribute to Deaf awareness and accessibility initiatives within the Centre What We’re Looking For Registered Sign Language Interpreter with National Registers of Communication Professionals working with Deaf and Deafblind People (NRCPD) Level 6 qualification in BSL Interpreting or postgraduate degree in interpreting Experience working in healthcare or with Deaf clients in clinical settings preferred Strong interpersonal skills and cultural sensitivity Ability to work independently and as part of a team Commitment to equality, diversity, and inclusion Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton! We offer a range of great benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days) pro rata; subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. For information on the Service please look at the website http://ais.southampton.ac.uk/ Informal enquiries and visits to the centre can be arranged by contacting Prof Roberta Buhagiar, Clinical Coordinator rb22@soton.ac.uk at the University of Southampton Auditory Implant Service, Telephone 02380 593522. *An enhanced DBS check is required for this role.

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 1. 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 2. 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. 3. 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