Skills4Scientists - Careers 2

Artificial and Augmented Intelligence for Automated Investigations for Scientific Discovery Network

AI4SD

A session on careers advice as part of the Skills 4 Scientists summer training series.

<h2>Description</h2><p>This event is part of the virtual Skills 4 Scientists series run by the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS).</p><p>This session will provide insight into potential different career paths, including a panel session with ECRs talking about their different careers and a discussion on what the long term career of a chemist can look like.</p><h3>Who is this event for?</h3><p>This series of virtual events is primarily aimed at late stage undergraduate or early stage postgraduate students who are studying a physical sciences subject. However, it is open to any attendees who wish to join if the subject matter is of interest to you! Please note though that many of the examples will be based around chemistry / physical sciences subject matter. </p><h3>Pre-requisites</h3><p>This course has no pre-requisites</p>

<h2>Agenda</h2><ul><li>2:00-2:10: Welcome</li><li>2:10-3:00: Panel Session with ECRs</li><li>3:00-3:10: Coffee Break </li><li>3:10-4:10: A Career in Chemistry &amp; Beyond - Kevin Parker </li><li>4:10-4:20: Coffee Break </li><li>4:20-5:00: Q+A  </li></ul><h2>Speaker Bios</h2><p><strong>Jennifer  Hiscock </strong>obtained her PhD from the University of Southampton (UK) under the supervision of Prof. Philip A. Gale in 2010 studying supramolecular host:guest chemistry. She continued her post-doctoral research between this group and Dstl (Porton Down – UK) until 2015 when she moved to the University of Kent (UK) as the Caldin research fellow. In 2016 she was awarded a permanent lectureship position at that same institution, which has since been followed by her promotion to Reader in Supramolecular Chemistry and Director of Innovation and Enterprise for the School of Physical Sciences in 2019. In 2020 she was awarded a UKRI Future Leaders Fellowship, developing novel cell surface active therapeutics and drug adjuvants. Her research currently focuses on an interdisciplinary approach to applying supramolecular chemistry to solve real-world problems.</p><p><strong>Jo Grundy </strong>graduated from Exeter University with a BSc in Chemistry in 1996, qualified as a teacher with a PGCE from Durham University then taught at Varndean School for a couple of years in Brighton, before doing an MSc in 1999, then DPhil in Organometallic chemistry at Sussex University. Between 2004 and 2006 I worked with Prof. Mathey at UC Riverside, before coming back to teach at a school in Duisburg Germany. I returned to the UK and taught chemistry and maths to A level, at Farnborough Sixth Form, then the Isle of Wight College, Barton Peveril and Itchen College. In 2018, did a second MSc in Artificial Intelligence at Southampton University, then worked as a Teaching Fellow in Computer Science for a year, before starting in my present job as a Research Fellow in Machine Learning. </p><p><strong>Samuel Munday</strong> is a Research Assistant at the University of Southampton. He is currently part of the ICURe programme, and his research focus is in the digital economy space, interviewing and working with industry to assess the need for systems that can automatically curate and contextualise information from paper records. Samuel graduated from the University of Southampton in 2018 with an MChem in Chemistry and Maths, and prior to undertaking his recent position, he worked as a Research Technician at the University, and was involved with a variety of different projects. He led the development and implementation of a machine learning platform for the polymeric materials sector, aiding them in bringing new products to market faster. He has also developed and helped deliver a Python programming course for undergraduate Chemists as well as being involved in assessing the ethical implications of implementing AI and data sharing across the food supply chain. </p><p><strong>Samantha Kanza</strong> is an Enterprise Fellow at the University of Southampton. She completed her MEng in Computer Science at the University of Southampton and then worked for BAE Systems Applied Intelligence for a year before returning to do an iPhD in Web Science (in Computer Science and Chemistry), which focused on Semantic Tagging of Scientific Documents and Electronic Lab Notebooks. She was awarded her PhD in April 2018. Samantha works in the interdisciplinary research area of applying computer science techniques to the scientific domain, specifically through the use of semantic web technologies and artificial intelligence. Her research includes looking at electronic lab notebooks and smart laboratories, to improve the digitization and knowledge management of the scientific record using semantic web technologies; and using IoT devices in the laboratory. She has also worked on a number of interdisciplinary Semantic Web projects in different domains, including agriculture, chemistry and the social sciences.</p><p><strong>Nicola Knight</strong> is an Enterprise Research Fellow at the University of Southampton working on the Physical Sciences Data-Science Service (PSDS). She completed her Masters of Chemistry (MChem) at the University of Southampton previously before undertaking a PhD in Chemistry under the supervision of Professor Jeremy Frey. Her PhD focused on the interface between Chemistry and Computing with research in chemical modelling, remote experiments and the implementation of IoT technology in scientific research. Nicola’s current research interests are in the use of computing in scientific labs and notetaking with particular interest in IoT technologies and streamlining the research process.</p><p><strong>Kevin Parker </strong>started his career with a bang by blowing up a laboratory at the University of Cambridge while studying for his Ph.D. Some 40 years later, he runs a training and consultancy company helping start-up companies and individuals achieve their promise. He has completed 500 assignments in this area since 1995. His company’s clients have included 19 Russell Group Universities, the Royal Society of Edinburgh, departments of both the UK and Scottish Government, and the Episcopal Church of Scotland.</p><h2>The Skills 4 Scientists series</h2><p>This series is a joint venture organised between the Artificial Intelligence for Scientific Discovery Network+ (AI3SD) and the Physical Sciences Data-Science Service (PSDS), running alongside the AI3SD summer internship program. This series of events will run over the summer and aims to educate and improve scientists’ skills in a range of areas including research data management, python, version control, ethics, and career development. </p><p>This series is primarily aimed at final year undergraduates / early stage PhD students. Although of course anyone interested in any of the topics is welcome to join!</p><p>This series starts on the 7th July 2021, and runs every other Wednesday and Thursday afternoon until the end of August. Each seminar session will commence at 14:00 and typically finish around 17:00. The final event of the series will be a 2 day poster symposia where attendees will be invited to present their research to a range of experts from industry and academia.</p><p>To find out about the other events in the series visit https://www.ai3sd.org/skills-4-scientists/</p><h2>Event Access Details</h2><p>This event will be run virtually via the Zoom video conferencing platform. This can be accessed via either a computer or mobile device. </p><p>In most of the session we will ask that attendees keep their camera off and microphones muted to reduce bandwidth and background noise. If we invite attendees to join us on camera there is no obligation to switch on your camera.</p><p>You will be able to ask questions via the chat box in Zoom, or in dedicated question sessions we will also invite people to ask questions using their microphone. </p><p>This event will utilise the automated captioning provided by Zoom, and where permission is given we will post recordings of the event on our YouTube channels to allow you to watch them again later.</p><h2>About AI3SD</h2><p>We are the AI3SD Network+ (Artificial Intelligence and Augmented Intelligence for Automated Investigations for Scientific Discovery). The Network+ is funded by EPSRC and hosted by the University of Southampton and aims to bring together researchers looking to show how cutting edge artificial and augmented intelligence technologies can be used to push the boundaries of scientific discovery. </p><h2>About PSDS</h2><p>The Physical Sciences Data-science Service (PSDS) is a National Research Facility funded by EPSRC and run by the University of Southampton and STFC. The service provides free access to high quality data resources for the UK academic community. PSDS also aims to raise awareness, engagement, and education about data science within the physical sciences. </p><h2>AI3SD Network Contact Details</h2><p>Email - info@ai3sd.org </p><p>Twitter - @AISciNet </p><p>LinkedIn - https://www.linkedin.com/in/ai3sd </p><p>LinkedIn Interest Group - AI3 Science Network Interest Group </p><p>To become part of the AI3SD Network+, join our mailing list by sending an email to: listserv@jiscmail.ac.uk </p><p>Subject: Subscribe </p><p>Message: SUBSCRIBE AI3SD Firstname Lastname </p><p>Or go to https://www.jiscmail.ac.uk/AI3SD </p><h2>PSDS Contact Details</h2><p>Website - https://www.psds.ac.uk</p><p>Email - support@psds.ac.uk / psds@soton.ac.uk</p><p>Twitter - @PSDS_UK</p>

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Skills4Scientists - Careers 2

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