University of Alabama at Birmingham

Schemes of Service: Research Division: Food, Chemical and Biotechnology Employment Type: Fixed Term About the Project The opening is for a project funded by the National Research Foundation (NRF). The project supports Singapore’s commitment to sustainability and carbon reduction. As a country with limited natural resources, Singapore is investing in innovative carbon dioxide (CO2) utilization technologies to reduce emissions and enhance energy security. This research aims to develop an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines biotechnological and electrocatalytic processes to efficiently transform CO2 into useful chemicals, providing a novel and sustainable pathway for chemical manufacturing. The project is led by Dr. Zhou Kang at the Singapore Institute of Technology (SIT), with research strengths in metabolic engineering, microbial biomanufacturing, and sustainable process development. One Research Fellow will be hired to support the microbial engineering and bioprocess development aspects of the project: The Research Fellow will work under Dr. Zhou Kang at the Singapore Institute of Technology (SIT). This role focuses on producing platform aromatics from C2 building blocks using engineered microbial strains, pathway engineering, and fermentation strategies. The successful candidate will play a crucial role in advancing the project towards a lab-scale demonstration of an integrated CO2-to-chemicals process. Key Responsibilities Conduct independent laboratory research related to microbial fermentation, strain engineering, and biotransformation. Develop and optimize microbial strains, biosynthetic pathways, and cultivation strategies to improve efficiency and product yield. Design and support the integration of biotechnological processes into a continuous lab-scale system. Characterize and analyze chemical and biological products using advanced analytical techniques. Collaborate closely with project team members and external collaborators across metabolic engineering, biocatalysis, and related disciplines. Document research findings, prepare technical reports, contribute to scientific publications, and help supervise junior researchers or students when needed. Qualifications & Experience PhD degree in Chemical Engineering, Biotechnology, Microbiology, Biochemistry, Synthetic Biology, or a related field. Demonstrated research experience in one or more of the following areas: microbial fermentation, metabolic engineering, biotransformations, or bioprocess development. Hands-on experience with genetic engineering, molecular biology techniques, and strain construction is highly desirable. Strong problem-solving skills, critical thinking, and the ability to work independently while contributing effectively to collaborative projects. Excellent communication skills and the ability to work in a multidisciplinary research environment. A strong publication record or clear evidence of research productivity will be an advantage. Our lab uses Python, MATLAB and C++ to automate both data analysis and process control. Knowledge in these tools as well as emerging agentic AI will also be an advantage.  Professional Development The initial contract will be for one year, with the possibility of renewal for up to three years based on performance and project needs. The Research Fellow will have opportunities to lead publications, present at conferences, and build an independent research profile within the project. The role offers strong exposure to interdisciplinary collaboration in sustainable chemical manufacturing and carbon utilization research. The project may lead to forming a start-up on manufacturing specialty chemicals in Singapore. The start-up will be led by members of this project. Why Join the Team? Work on a cutting-edge project funded by the National Research Foundation (NRF) with impact on CO2 utilization. Contribute to Singapore’s sustainability and carbon reduction initiatives. Be part of a dynamic research team led by Dr. Zhou Kang in metabolic engineering and sustainable biomanufacturing. Gain valuable experience in an emerging field with applications in sustainable chemical manufacturing. Opportunities to contribute to high-impact publications and attend international conferences. Join the team in shaping the future of sustainable chemical production!

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an Senior Scientist 50 Faculty of Life Sciences Startdate: 01.07.2026 | Working hours: 40 Reference no.: 5692 Modern analytical technologies based on mass spectrometry for the analysis of small molecules have become essential in life sciences. Are you looking for an opportunity to apply your skills in mass spectrometry in a multidisciplinary and dynamic research environment? We invite you to apply for this position as a senior scientist for small-molecule mass spectrometry at the Faculty of Life Sciences, University of Vienna. This is a fixed-term position providing maternity leave cover. Your personal sphere of play: Situated at the Universitäszentrum Althanstraße (UZA II), you will operate at the intersection of pharmaceutical sciences, nutritional sciences and biology. As a Senior Scientist in our Facility for small-molecule mass spectrometry, you are the primary piont of contact for research groups seeking to integrate high-end MS analysis into their projects. You manage a diverse portfolio of a application in both targeted and non-targeted workflows, with particular emphasis on the characterization of multi-compound mixtures, specifically those plant, microbial, fungal and marine origin, as well as the analysis of large-scale human studies. Further applications include purity analysis, accurate quantification of compounds in biological samples, determining the accurate mass of synthesis products and metabolites, and structure elucidation. Your future tasks: Active participation in research, teaching & administration, which means: You will work in a laboratory equipped with state-of-the-art mass spectrometry instrumentation (including low and high-resolution MS) located at the Department of Pharmaceutical Sciences. You will organize analytical workflows, perform analytical measurements and analyze complex MS data to deliver high-quality results for research projects, project proposals and publications. You will interact with various research groups to discuss their questions and implement dedicated MS strategies. You will monitor the performance of MS instruments, perform routine maintenance and coordinate technical repairs. You will follow relevant literature and new analytical developments, and exchange expertise with other MS facilities (e.g. for proteomics) to enhance faculty-wide research capabilities. This is part of your personality: Open, collaborative and curious personality. Pro-active approach and highly motivated attitude. Ability to work independently, self-management skills and highly organized style of work and documentation, Excellent communication skills for interacting with a diverse, multidisciplinary research community and technical experts. Education an training: Doctorate in (analytical, bio-)chemistry, pharmacy, system biology or related fields. Hands-on experience with mass spectrometry systems (GC- or LC-MS, LC-MS preferred) for small-molecule analysis (low- or high-resolution MS). Technical knowledge for MS instrumentation and practical experience with routine maintenance of LC and/or MS systems. Experience with method development for sample preparation, chromatographic separation techniques (liquid- or gas chromatography), and MS. Detailed knowledge of the analytical process and critical aspects for analytical quality in small-molecule analysis. Experience with one or more MS data analysis software packages (e.g. mzmine, xcms, msDial, vendor packages) and common data analysis workflows in life science application and/or system biology (feature finding ion annatation, basic statistical analysis). Data management- and basic programming skills are highly desirable. Experience with data visualization and biological interpredation of small-molecule MS data (e.g. metabolomics data sets) is highly desirable, e.g. molecular networking and/or chemometric approaches. Fluent in Englisch (in speech and writing). German language skills are desirable. What we offer: International and dynamic research environment at the Faculty of Life Sciences. You are part of the team at the Department of Pharmaceutical Sciences and enjoy excellent support by laboratory- and administrative staff. The opportunity to contribute to high-impact research across multiple life science domains. Opportunity to engage with the local analytical community within and beyond University of Vienna, participation in local scientific meetings. Work-life-balance: Flexible working hours, intermittent remote work is possible. Internal further education programs to strengthen research- and lesdership skills. This is a fixed-term maternity cover role (1 July 2026 to 20 November 2026); it may subsequently be extended for the duration of the employee’s parental leave. Salary: € 5.014,30 gross starting salary (40 h basis, 14 times annually). It is that easy to apply: Academic curriculum vitae, including a list of publications, analytical technologies used, teaching and talks. Letter of motivation including a description of research interests and the specific interst in the advertised position. Contact details of people who could provide a letter of reference. Certificate for the highest awarded academic degree. If you have any content questions, please contact: Karin Ortmayr karin.ortmayr@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: 06/08/2026 (Senior) Lecturer & Researcher

Job Purpose 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 deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key 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: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.