Career planning

Chapter 56 provides advice on early career planning, with specific reference to Foundation Programme applications, Academic Foundation Programme applications, and career taster opportunities. The Foundation Programme application process is summarized, with details about the types of application, timeline of application, online submission, educational performance measures used, situational judgement tests, and top tips to maximize the chance of a successful outcome. The situational judgement test forms a significant part of the overall score: the chapter covers example questions and the rationale for the preferred response. Academic Foundation Programmes allow additional scope and funding for research and form the early stages of the academic career pathway. Career taster weeks allow an opportunity to look closely at a career of interest by spending a week in that specialty. Advice on how to organize a taster week, what to ask about, and top tips in organizing your own career taster are provided. A comprehensive list of resources is provided for the reader.

2021 ◽  
pp. 089484532110172
Author(s):  
Ruth Noppeney ◽  
Anna M. Stertz ◽  
Bettina S. Wiese

Obtaining a doctorate offers various career options. This study takes a person-centered approach to identify interest profiles. Career goals (professorate, entrepreneur, etc.) were assessed at two time points (1-year interval) in a sample of doctoral students and doctorate holders from the STEM fields in German-speaking areas ( NT 1 = 2,077). Latent profile analysis revealed that a four-profile solution provided the best data fit: At T1, 33.0% of the participants aimed for a management position in industry, 16.9% pursued an academic career, 30.1% were interested in activities without leadership responsibilities, and 20.1% had a relatively flat career-goal profile. Latent transition analysis indicated that most changes occurred for those classified into the flat profile, while strong interest in a management career was very stable over time. Additionally, the attainment of the doctorate seemed to be a good predictor for profile membership: Doctorate holders were more likely to be clearly dedicated to an academic career.


Author(s):  
Joanne Pransky

Purpose – This article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry engineer-turned entrepreneur regarding the evolution, commercialization and challenges of bringing a technological invention to market. Design/methodology/approach – The interviewee is Dr Yoky Matsuoka, the Vice President of Nest Labs. Matsuoka describes her career journey that led her from a semi-professional tennis player who wanted to build a robot tennis buddy, to a pioneer of neurobotics who then applied her multidisciplinary research in academia to the development of a mass-produced intelligent home automation device. Findings – Dr Matsuoka received a BS degree from the University of California, Berkeley and an MS and PhD in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT). She was also a Postdoctoral Fellow in the Brain and Cognitive Sciences at MIT and in Mechanical Engineering at Harvard University. Dr Matsuoka was formerly the Torode Family Endowed Career Development Professor of Computer Science and Engineering at the University of Washington (UW), Director of the National Science Foundation Engineering Research Center for Sensorimotor Neural Engineering and Ana Loomis McCandless Professor of Robotics and Mechanical Engineering at Carnegie Mellon University. In 2010, she joined Google X as one of its three founding members. She then joined Nest as VP of Technology. Originality/value – Dr Matsuoka built advanced robotic prosthetic devices and designed complementary rehabilitation strategies that enhanced the mobility of people with manipulation disabilities. Her novel work has made significant scientific and engineering contributions in the combined fields of mechanical engineering, neuroscience, bioengineering, robotics and computer science. Dr Matsuoka was awarded a MacArthur Fellowship in which she used the Genius Award money to establish a nonprofit corporation, YokyWorks, to continue developing engineering solutions for humans with physical disabilities. Other awards include the Emerging Inventor of the Year, UW Medicine; IEEE Robotics and Automation Society Early Academic Career Award; Presidential Early Career Award for Scientists and Engineers; and numerous others. She leads the development of the learning and control technology for the Nest smoke detector and Thermostat, which has saved the USA hundreds of billions of dollars in energy expenses. Nest was sold to Google in 2013 for a record $3.2 billion dollars in cash.


2016 ◽  
Vol 50 (6) ◽  
pp. 624-636 ◽  
Author(s):  
Filip Lievens ◽  
Fiona Patterson ◽  
Jan Corstjens ◽  
Stuart Martin ◽  
Sandra Nicholson

2021 ◽  
Vol 82 (4) ◽  
pp. 178
Author(s):  
Willa Tavernier

Scholarly communication librarianship is a messy field. Its margins are ill-defined and ever- changing. There is a lack of curricular training in library schools and a lack of opportunities for early-career candidates. As a result, preparing librarians for a scholarly communication career presents a challenge. In this piece I discuss this messiness and describe my personal experiences in a residency position, showing how these kinds of positions support the professional development of scholarly communication librarians, with specific reference to the NASIG Core Competencies for scholarly communication librarians.


2021 ◽  
Vol 8 ◽  
Author(s):  
Maria-Theresia Verwega ◽  
Carola Trahms ◽  
Avan N. Antia ◽  
Thorsten Dickhaus ◽  
Enno Prigge ◽  
...  

Earth System Sciences have been generating increasingly larger amounts of heterogeneous data in recent years. We identify the need to combine Earth System Sciences with Data Sciences, and give our perspective on how this could be accomplished within the sub-field of Marine Sciences. Marine data hold abundant information and insights that Data Science techniques can reveal. There is high demand and potential to combine skills and knowledge from Marine and Data Sciences to best take advantage of the vast amount of marine data. This can be accomplished by establishing Marine Data Science as a new research discipline. Marine Data Science is an interface science that applies Data Science tools to extract information, knowledge, and insights from the exponentially increasing body of marine data. Marine Data Scientists need to be trained Data Scientists with a broad basic understanding of Marine Sciences and expertise in knowledge transfer. Marine Data Science doctoral researchers need targeted training for these specific skills, a crucial component of which is co-supervision from both parental sciences. They also might face challenges of scientific recognition and lack of an established academic career path. In this paper, we, Marine and Data Scientists at different stages of their academic career, present perspectives to define Marine Data Science as a distinct discipline. We draw on experiences of a Doctoral Research School, MarDATA, dedicated to training a cohort of early career Marine Data Scientists. We characterize the methods of Marine Data Science as a toolbox including skills from their two parental sciences. All of these aim to analyze and interpret marine data, which build the foundation of Marine Data Science.


Author(s):  
David Metcalfe ◽  
Harveer Dev

The Improving Selection to the Foundation Programme (ISFP) project does not believe that it is possible to be ‘coached’ through the SJT. This is generally true. Knowing the ‘right thing to do’ in any given situation is a matter of internalized values and intuition. However, no one seriously accepts that candidates are born with a fixed level of situational judgement. This is clearly something that develops over time and therefore can change. In addition, the SJT does not set out to test your values but whether you understand the values and attitudes expected of an FY1 doctor. This is why you are instructed to answer questions as you ‘should’, not as you ‘would’. The principles on which foundation doctors should base their behaviour are learnt and internalized throughout medical school. However, knowledge of these principles can clearly be learnt in the same way as any other part of the medical school curriculum. Most final- year medical students are satisfied with the FY1 posts to which they are allocated. For 2017 entry, 74% were appointed to their firstchoice foundation school, and 94% to one of their top five preferences. Those who were not initially pleased often look back in retrospect and are satisfied with their allocations. Your score on the SJT is unlikely to make or break your career. However, the same can be said of medical school finals. You will almost certainly pass finals— upwards of 95% of final- year students do so— and your ultimate career destination is unlikely to hinge on your cumulative examination score. But this is not a reason to go into finals unprepared. The truth is that every point on the SJT, as in finals, could mean the difference between your chosen outcome and something different. A point lost on the SJT could result in your leaving your first- choice foundation school and moving across the country for work, or not having a high enough score to capture your chosen specialty as a Foundation Programme rotation. Increasing competition for FY1 posts means that not everyone can be appointed.


2020 ◽  
Vol 60 (7) ◽  
pp. 1453-1462
Author(s):  
Mia T. Minen ◽  
Rebecca E. Wells ◽  
Jessica R. Gautreaux ◽  
Christina L. Szperka ◽  
Melissa Rayhill ◽  
...  

2019 ◽  
Vol 54 (2) ◽  
pp. 105-115 ◽  
Author(s):  
Paul A. Tiffin ◽  
Lewis W. Paton ◽  
Deborah O'Mara ◽  
Carolyn MacCann ◽  
Jonas W. B. Lang ◽  
...  

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