Texas Southern University

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. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful impact? We are currently seeking a/an University Assistant postdoctoral 37 Faculty of Business, Economics and Statistics Startdate: 01.10.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5851 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 personal sphere of play: The Institute for Statistics and Operations Research of the University of Vienna is looking for a postdoctoral researcher to participate in the department's research, teaching (to the extent regulated by the collective bargaining agreement), and administrative activities. In particular, the candidate is expected to participate in research projects leading to international publications and presentations. The position is limited to 4 years and, in particular, is intended to contribute to collaborative research activities within the Data Science @ University of Vienna research platform. For more information about the position, please contact Tatyana Krivobokova or Hannes Leeb. Your future tasks: Active participation in research, teaching & administration, which means: You build up an independent research profile in the field of mathematical statistics. You publish internationally and give lectures. You apply for projects and raise third-party funds. You hold courses independently within the scope of the provisions of the collective bargaining agreement. You supervise your students in various courses. You participate in evaluation measures and in quality assurance. You take on administrative tasks in research, teaching and administration. This is part of your personality: Completed doctorate/PhD degree in statistics, mathematics, or a closely related discipline (completed or about to be completed) A strong background in mathematical statistics and probability theory Outstanding dissertation, reflected in the excellent evaluation and/or exemplary examiners’ reports Promising potential for original high-level research, evident from publications in renowned, subject-relevant media (peer-reviewed) Experience in research management and in leading project staff is an advantage Didactic skills/experience in e-learning Knowledge of university processes and structures is desirable Excellent knowledge of English (C1) International experience is desirable Excellent interpersonal and communication skills, as indicated by strong letters of recommendation. 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 4 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 scientific curriculum vitae With your letter of motivation With your list of publications (including a list of courses and talks given) With your summary of research interests (max. 1 p.) With two letters of reference With copies of certificates / Doctoral Degree Via our job portal / Apply now - button. If you have any questions, please contact: Tatyana Krivobokova tatyana.krivobokova@univie.ac.at Hannes Leeb hannes.leeb@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: 08/16/2026  Post Doc

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Permanent Job Purpose The Professional Officer leads SIT’s Design Factory in advancing design-led education, research, and enterprise collaboration. This role emphasizes strategic leadership in industrial design, guiding multidisciplinary teams to deliver impactful solutions across product, service, and system innovation. The incumbent will champion human-centred design, foster industry partnerships, and drive the Centre’s vision as a hub for applied innovation and leadership in design. Key Responsibilities Applied R&D and Design Innovation Leadership Human-Centred Research: Direct advanced research in ergonomics, usability, and design thinking, ensuring projects address real-world challenges. Lead integrated applied R&D and design projects for SMEs, MNCs, and public sector partners, overseeing full project lifecycles from research framing, ideation, and user insights through to prototyping, validation, and manufacturing considerations. Apply human-centred design, systems thinking, and futures methodologies to translate research insights into functional prototypes, design frameworks, and scalable innovation outcomes. Spearhead the curation and growth of specialist labs and material exploration environments, supporting experimentation across emerging materials, structural design, and advanced fabrication methods. Bridge creative design with engineering feasibility to develop manufacturable, real-world product and service solutions. Industrial Design Leadership Set Strategic Direction: Lead the vision and standards for industrial design across the Design Factory’s initiatives, ensuring excellence in product aesthetics, usability, and manufacturability. Define and oversee mechanical design standards across projects, ensuring structural integrity, manufacturability, and performance excellence. Champion Human-Centred Design: Embed ergonomics, user research, and co-creation practices into all projects, aligning outcomes with real-world needs and industry expectations. Engineering Integration: Champion the fusion of mechanical engineering principles with design innovation, bridging technical feasibility with creative outcomes. Mentorship & Technical Oversight: Provide critique, guidance, and quality assurance for student and project team outputs, cultivating design rigor and professional practice. Guide students and project teams in CAD modelling, simulation, and mechanical prototyping, ensuring precision and reliability in outputs. Drive Innovation: Lead the integration of sustainable design, circular innovation, and advanced prototyping into project deliverables, ensuring relevance in evolving markets. Innovation in Mechanical Systems: Drive the adoption of advanced materials, sustainable engineering practices, and emerging technologies into mechanical design projects Capability Building: Develop toolkits, frameworks, and learning pathways that strengthen SIT’s industrial design capacity and equip collaborators with transferable design skills. Strategic Platform and Programme Development Co-lead the Design Factory as a design-led platform bridging applied R&D, industry collaboration, education, and enterprise adoption; growing its role within SIT's innovation ecosystem. Identify and develop opportunities for programme growth in human-centred design, circular innovation, applied R&D, and cross-disciplinary learning. Contribute to strategic planning and long-term development of the Design Factory in alignment with SIT's institutional goals. Partnership and Business Development Build Strategic Relationships: Establish and manage partnerships with industry, academia, government, and international design ecosystems. Drive Collaboration: Identify opportunities, develop proposals, and formalize agreements to advance innovation projects. Activate Networks: Lead a multi-stakeholder innovation community spanning students, researchers, and external partners. Capability Building and Education Build SIT’s mechanical design expertise through curated methodologies, workshops, and collaborative frameworks that strengthen applied engineering design skills. Design and deliver applied learning programmes, masterclasses, workshops, and structured learning experiences integrating design thinking, human-centred research, prototyping, and real-world application. Translate Design Factory methodologies, applied R&D projects, and industry case studies into structured content for internal and external programmes, including CET modules and industry workshops. Support academic delivery through preparation of learning resources, demonstrations, and supervision of student work across interdisciplinary projects. Mentor and guide interdisciplinary teams across design, engineering, and research domains within lab, workshop, and applied project environments. Project and Operational Management Plan, implement, and monitor multiple concurrent applied R&D and innovation projects, ensuring delivery on time and within budget. Manage budgets, procurement, and reporting for internal and external initiatives, with a strong track record of on-time and on-budget performance. Oversee daily operations of the Design Factory, including facilities, safety, scheduling, and resource utilisation. Maintain records, documentation, and performance metrics for projects, programmes, and collaborations. Requirements Degree in Industrial Design, Mechanical Engineering, Human Factors, or Innovation Management; postgraduate qualifications in design leadership or applied engineering are advantageous. Minimum 5–8 years in industrial design, mechanical design, innovation management, or R&D, with a proven record of delivering industry-relevant outcomes. Project Leadership: Demonstrated ability to lead complex projects and multi-stakeholder collaborations across academic, research, and industry contexts. Technical Proficiency: Expertise in design research, prototyping, fabrication, CAD modelling, simulation, and applied learning environments. Team Leadership: Proven track record in guiding multidisciplinary teams, mentoring talent, and ensuring design rigor in both industrial and mechanical outputs. Industrial Design Practice: Strong proficiency in product development, ergonomics, usability testing, and industry-standard design tools; portfolio evidencing leadership in industrial design projects is preferred. Mechanical Design Expertise: Experience in mechanical systems, material selection, structural design, and integration of engineering principles into innovative solutions.

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 Purpose The Research Fellow will lead the development of a Surface-Enhanced Raman Spectroscopy (SERS) biosensor platform for rapid detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids. Opportunities to contribute to patent filings, translational research, and commercialization pathways will be available. Key Responsibilities Technical Responsibilities Design and screen high-affinity ssDNA aptamers targeting environmental microorganisms listed in the US Pharmacopeia. Develop nanoparticle-based SERS substrates (Ag/Au nanoclusters) for enhanced Raman signal detection. Design and fabricate microfluidic sensing interfaces for continuous monitoring of cleaning validation fluids. Perform sensor validation using Raman spectroscopy, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities Plan and execute experimental workflows to achieve project milestones. Lead prototype development and performance optimization of the SERS biosensor system. Communicate research outcomes through technical reports, conference presentations, and scientific publications. Collaborate with industry partners and interdisciplinary research teams where applicable. Operational Responsibilities Conduct risk assessments and ensure compliance with Work Safety and Health (WSH) regulations. Manage procurement of specialized equipment and research consumables. Mentorship Mentor research engineers, graduate students, and undergraduate researchers. Contribute to training activities within the research group. Others To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Essential PhD in Bioengineering, Chemical Engineering, Materials Science, Nanotechnology, Analytical Chemistry, or related fields. Strong publication record in biosensors, nanomaterials, Raman spectroscopy, or microfluidics. Demonstrated experience in nanoparticle-based biosensor development or SERS sensing platforms. Proficiency in CAD software (e.g., SolidWorks) for microfluidic device design. Experience with Raman spectroscopy instrumentation and spectral data analysis. Preferred Experience in microfluidic chip fabrication (soft lithography, PDMS, or micro-machining). Experience with aptamer selection or molecular recognition elements. Experience applying machine learning to spectral data (Raman, LC–MS, or similar). Experience working on translational or industry-linked research projects.