Rogers State University

Applications are invited for a Senior Research Fellow position (0.8FTE) within the School of Electronics and Computer Science at the University of Southampton. The project will involve the development of an innovative new multiparametric sensor technology to monitor the microbial properties of cattle rumen. The ultimate aim is to design, test and deploy the sensor bolus to measure and reduce methane emissions from cattle. The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant physical/engineering science. The candidates must possess detailed knowledge and experience in miniature electrochemical sensor design, fabrication and testing. We are looking for a self-motivated person, able to organise their own research activities effectively, and collaborate successfully across disciplines. The successful candidate will be a good communicator and will be expected to take the lead in preparing reports, presenting results to the consortium and writing research papers. You must also be able to work effectively in a team and organize time, tasks and responsibilities with other team members. The post will be held in the School of Electronics and Computer Science (ECS) (http://ecs.soton.ac.uk). Ranked in the top 1% of universities globally and among the UK's top 20 for research, the University of Southampton has an international reputation for its research, teaching and enterprise activities. Electronics and Computer Science provides a unique, friendly and supportive environment that facilitates use-inspired and multi-disciplinary research, education, training and outreach. ECS holds an Athena SWAN bronze award in recognition of its’ continued commitment to improving equality for women in science and engineering. We will give due consideration to applicants that wish to work flexibly including part-time and to those who have taken a career break. The University has a generous maternity policy, onsite childcare facilities and employees a childcare vouchers scheme. ECS provides a unique, friendly and supportive environment. We have a range of staff development programmes and a unique mentoring and wellbeing scheme. To find out more about working at ECS, visit: https://www.ecs.soton.ac.uk/workinghere University of Southampton holds a Silver Athena Swan Award. It has a generous maternity policy, onsite childcare facilities and employees can participate in a childcare vouchers scheme. There is a great range of benefits that includes a contributory pension scheme; generous holiday entitlement; subsidised health and fitness facilities; cycle to work scheme; a range of discounts. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward. For more information, contact:Prof Hywel Morgan hm@ecs.soton.ac.uk  Working at the University of Southampton: Check out the staff benefits and why you should join us at The University of Southampton.

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 Scientific project assistant predoctoral 50 Faculty of Life Sciences Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Reference no.: 5930 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! Your personal sphere of influence: We are a young and enthusiastic team at the Department of Pharmaceutical Sciences that is focused on developing new treatments against drug resistant and metastatic states of lung cancers by working at the interface of, medicinal chemistry, chemical methodology development, cancer chemical biology and (chemo)proteomics. The project is strongly connected to the key goal of the group to study phenotypic plasticity with regard to cancer progression, hydrogen peroxide signaling and ferroptosis. For more information, visit: https://konradlab.univie.ac.at/ Your future tasks: The most commonly used techniques for the project are chemical synthesis as well as the analysis of the produced compounds and their reactivity. To perform chemical syntheses, we expect experience with standard inert-atmosphere techniques such as Schlenk line and glovebox set-ups. For compound analysis, NMR, HRMS, HPLC, LC-MS and UV-vis are frequently used techniques. The reactivity of chemical probes will be determined through reaction kinetics measurements. We encourage students to apply who have experience with most of these methods and are excited to expand their skillset with the approaches that they are not yet familiar with. Programming skills in python and R with experience in statistical data analysis, especially with large omics datasets, are a strong bonus. This is part of your personality: You have a completed Master's degree (or equivalent) with a focus in: Pharmaceutical Sciences Drug Development Chemistry Biochemistry Chemical Biology Experience in synthetic organic / medicinal chemistry and a passion for drug discovery A deep interest and an enthusiasm for scientific work A critical and analytical mind Ability to work responsibly, reliably, diligently and independently perform experiments Ability to work in a multidisciplinary team within the group and with external collaborators A passion for training colleagues and students in the laboratory Experience in the most commonly employed techniques in the laboratory (see “Your future tasks” section)) Programming skills in python and R with experience in statistical data analysis are an advantage. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. 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 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. Fair salary: EUR 2.832,08 gross (for a 30-hour-contract/14 salaries per year), the salary increases after 3 years of predoc-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 Master Degree / Diploma certificate Other relevant certificates With a motivation letter summarizing your research interests Reference list Via our  job portal / Apply now - button If you have any questions, please contact: David Benjamin Konrad david.benjamin.konrad@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: 08/02/2026

The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems /across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. SIT’s Innovation-as-a-Service (IaaS) is an open-innovation platform designed to connect industry players, particularly start-ups and SMEs, with the research and technological capabilities of the Singapore Institute of Technology (SIT), local polytechnics, other IHLS and overseas university partners. IaaS Centre of Digital Innovation focusses on assisting company’s to digitalize their operations or prod/ucts and implementing AI solutions using ready AI tools to ensure a fast implementation to market. Key Responsibilities Work closely with centre head, Principal Investigator (PI) and internal/external stakeholders (including other IHLs) to support or drive applied research, and innovation initiatives outcomes. Outcomes include impact or revenue of industry partners Understand industry partners requirements and help create proposals to them. Work with the team to create IP (Intellectual Property) from internal grants to target multiple adopters Job Requirements: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated Applied AI for Healthcare and clinical practice Industry 4.0 and/or Industry 5.0 (added advantage) Experience applying AI to one or more of SIT’s focus areas: Advanced Manufacturing & Semiconductors, Urban Systems, AI-Augmented Engineering, AI Safety & Security, Chemical Engineering & Biotechnology, AI for Healthcare as well as Hospitality & Tourism. Deep technical specialist with 8 or more years of working experience as a Machine Learning Engineer or similar role, with good knowledge of industry practices and technological applications in the field for the senior positions. 1 - 3 years experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data technologies such as Apache Hadoop and spark, Devops/MLops. Must have a firm grasp and understanding of data structures, data modeling and software architecture using Python, R, Java and C/C#/C++, as well as competence in mathematics including probability, statistics and algorithms. Keen interest to support research and academic project work, with demonstrated ability in developing software solutions to technical problems. Demonstrate proficiency to keep abreast of developments in the field and pursue professional certification programs. Possession of industrial certifications in relevant areas will be an added advantage. Key Competencies Self-motivated and can work independently or in a team. Enjoy both analytical and hands-on work to solve problems. Able to build and maintain good working relationships with people within and external to the university. Flexibility to work across functions/teams as part of a team in a dynamic environment. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess good analytical and critical thinking skills Shows good initiative and takes ownership of work undertaken Proactive, resourceful, and able to take ownership of assigned responsibilities