Rutgers University–New Brunswick

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role This is an exciting opportunity to join i-MOBYL, a European consortium project exploring how young adolescents (aged 11-15 years) can be empowered to travel more actively, independently, and sustainably in their everyday lives. This Research Fellow role is offered at 0.8 FTE for two years. Working with Dr. Eleanor Ratcliffe and an international consortium of academics, practitioners, and community partners, you will: Coordinate a Living Lab based in north-west Guildford, with a local secondary school and municipal partner; and Lead mixed-methods research to assess the acceptability, feasibility, and potential impacts of mobility interventions. The role combines community engagement and co-design, data collection and analysis, collaboration with local and international stakeholders, and the dissemination of findings through academic and non-academic outputs. You will be working with project partners across the Netherlands, France, Austria, Switzerland, and the UK. As a postdoctoral researcher you will join Surrey's Environmental Psychology Research Group (EPRG), an internationally-renowned centre for teaching and research on environmental psychology that has been active since the 1970s. The EPRG provides a supportive and dynamic setting for the professional development of early-career researchers, and the opportunity to collaborate with world leaders in environmental psychology. About you A PhD (awarded or close to completion) in environmental psychology, human geography, or environmental social science Experience conducting research on active travel, mobilities, urban environments, and/or young people Expertise in both quantitative and qualitative research methods, and confidence in collecting and analysing relevant data Experience working collaboratively across disciplines and with non-academic partners Ability to communicate research findings effectively to a range of audiences through publications, presentations, and engagement activities How to apply Please apply via the University of Surrey website with your CV and cover letter.  Interviews are scheduled for week commencing 27 July.  The University of Surrey reserves the right to close this vacancy early or extend based on Volume and Calibre of applications. Further details Job Description

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 purpose of this role is to deliver on a collaborative research project, Proteins for Singapore (P4SG), where you will be part of the research team to establish and understand the structuration of algae/soybean/mung bean proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and structure of alternative protein foods Design, execute, and interpret experiments independently. Participate in and manage the research project with Principal Investigators (PI), and the research team members to ensure all project deliverables including periodic progress reports are met. Author papers in high-quality journals and contribute to grant writing in areas that are related to the research. 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 manage a team of junior researchers and students to ensure proper operation and maintenance of equipment. To communicate and liaise with any internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Ideal qualities of the candidate include: Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation  Strong analytical and critical thinking skills Strong initiative and takes ownership of work The candidate should have relevant competence in the areas of processing technology, physical and structural analysis, material formulation, and mathmatical modeling. The candidate should also have a PhD or other advanced degree in a food or engineering related field. Knowledge of food formulation, sensory analysis, extrusion technology, machine learning, and rheology will be advantageous.

An experienced and motivated postdoctoral scientist is sought to join the Kyriazakis Quantitative Animal and Veterinary Science Group at the School of Biological Sciences of Queen's University Belfast. The successful candidate will undertake a senior role in the planning and delivery of research activities focused on assessing the interconnections between inputs and outputs in beef cattle and sheep systems in relation to animal health by using AI tools. The The cross-disciplinary Group consists of members with skills in veterinary and animal science, sustainability assessment, and data and computer sciences, and focuses on the development and application of transformative technologies for, and the quantitative assessment of their impacts on the sustainability of livestock systems. This particular role addresses the latter, as the job holder will be expected to develop methods and apply them for the Surveillance and Early Warning for Emerging Threats in Livestock using Artificial Intelligence. The post is aligned with SENTINEL, a collaborative project between the leading agricultural and veterinary Institutions on the island of Ireland (University College Dublin, AgriFood and Bioscience Institute,Teagasc). The successful candidate will have a demonstrable track record in Data Science with an excellent PhD degree awarded and strong publication record. The successful candidate will have responsibilities in independent research, supervision, planning, day-to-day lab management, collaborations and outreach. The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Have or about to obtain* a PhD in Data Science or a related discipline (*must be obtained within 3 months of commencement of employment). Significant relevant research experience in data mining and fusion, and dealing with large datasets that may contain potentially noisy, structured or unstructured data. Experience in Machine Learning and in programming languages such as Python, C++ or Go. Experience in statistical methodology, dealing with epidemiological approaches to the interconnectivity of inputs and outputs in livestock systems. Peer reviewed publications or preprints in the area of Data Science, including first author ones. This is not an exhaustive list. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information.  This post is available for 35 months or until 31 March 2029, whichever is soonest. Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.