Stated another way, if you are seriously considering industry as a career path, you should probably have already taken advantage of the many opportunities out there to dip your toes in the water. Academia to Industry: Data Science Myths and Truths. Yes here. You will most likely share more in ownership, and learn entrepreneurial skills that will serve you well, once the bug has bitten. In small business, it might include a failed startup (or two, or three), an IPO if you're lucky, and a lucrative exit strategy or long-term growth if you're really lucky. This factor can potentially influence both male and female students to choose not to go into careers in academia. View Computer Engineering Research Papers on Academia.edu for free. The “lone wolf” or “one-person band” may be increasingly rare in academia in an age of collaboration, but it is unheard of in industry, where being able to work in teams with specialized division of labor is essential. In general, it is seen as easier to establish oneself and become successful in industry than in academia. Industry vs Academia To conduct this survey, The Scientist invited 1800 readers via E-mail to respond to a web-based survey form. Many consider pharma shares (and therefore options) to be a bargain at the moment, but that's between you and your financial adviser to assess. The following rules reflect that experience, and my own opinions. Teaching courses 5. You will work longer hours than in large pharma, and maybe even more than in academia. Women who go off to summer internships discover that companies are desperate to have them and will constantly reassure them, which won't happen in academia where it will be challenging and frustrating.” Fame? That will likely … Testing and admin, and non-tech duties were for women. There is steady growth in demand for technically adept and flexible IT graduates. Every Ph.D. student constantly ponders this question. Here we discuss their job in more detail, as well as computer scientist requirements, which generally … Applying for grants 2. Academia.edu is a place to share and follow research. Superstar academics in relevant areas are in great demand in industry, to which they are often exposed through consulting or scientific advisory boards. Finally, if you count among your qualifications a stint in industry already, as an intern or perhaps as part of a collaboration, you will not only be in a better position to compete for a permanent job, but you will be much better prepared to make the decision facing you. Academia is the easiest way to share papers with millions of people across the world for free. Academia vs. Government Labs: A comparison. Yes If you are impatient, industry offers relatively fast-paced decision-making and constant change. No, Is the Subject Area "Human learning" applicable to this article? That’s why academia wins for time flexibility.” And at the same time, academic … Choosing between industry and academia is easy for some, incredibly fraught for others. However, many outlets have identified a talent gap in data science, with industry and academia facing challenges in recruiting data scientists that have the skills to address their needs. There’s not that many women who are never going to have kids.” A few interviewees thought that it would be easier to have a family with a career in academia, but most believed that industry would provide more support and flexibility. Have you held research positions in both academia and industry… The business cycle will eventually reverse itself, and while the business model may need to change irrevocably, the aging population alone dictates that healthcare will be an increasing global priority. "In business, everything begins with the profit motive. Computer scientists help advance the field of computer science and technology. One approach is to choose some reasonably long time frame, perhaps a decade, and ask yourself whether you'd be content to have lived through the average ups and downs you'd experience in a given job over that period. Whether you are an enthusiastically political animal, or abhor this aspect of the human condition, you will encounter plenty of politics in both academia and industry. The Computer Science Department at Vsk University on Academia.edu Professors and lecturers we interviewed said that they enjoyed teaching, and they enjoyed the freedom to choose their own research topics, and the excitement of being on the cutting edge of technological innovation. PLoS Comput Biol 5(6): No, PLOS is a nonprofit 501(c)(3) corporation, #C2354500, based in San Francisco, California, US, https://doi.org/10.1371/journal.pcbi.1000388. Following is a printable, suggested four-year schedule of courses: Computer Science, Professional Computer Science, B.S., Academic … No, Is the Subject Area "Personality" applicable to this article? Learning to manage is much more hit-or-miss in academia; opportunities to lead large organizations are rare (and to manage them actively rather than by consensus, rarer still). I felt resentment and skepticism as we started on these projects. Nevertheless, on balance, an academic career has to be somewhat more promising today than a year ago, and a career in pharma rather less so, in the opinion of the author. My advice is to keep all options open, i.e. Although the pace of academia may have quickened of late, it is still stately by comparison with industry, and much more scheduled (so many years to tenure, so many months to a funding decision, etc.). If you are looking at biotech, however, share options and similar ownership schemes need to be a key consideration, since these are a major rationale for assuming risk—more on that below. Raw ambition can be viewed as unseemly in either case, but there is more latitude for it in industry, and greater likelihood of being recognized and rewarded sooner if you are “on the go.” In fact, one of the clearest differences between academia and industry are their respective time constants. Despite recent bad press, bonus systems are often part of the equation, and depending on your entry point they may constitute a significant percentage of total compensation. If you are both academics, note that industry often has good contacts with local universities, and can facilitate interviews. I think industry is the better choice right now. There's no right answer to this, and you'll hear all sorts of different responses depending on who you ask. As part of the ongoing series, "Women Leading Visual Tech," Abigail Hunter-Syed of LDV Capital interviewed Kavita Bala, Dean of Computing and Information Science and Professor of Computer Science, about "bridging the gap between academia and industry… On the other hand, flexibility is more the hallmark of academic research, where you will have the opportunity to follow wherever the science leads, once you are running your own shop. When you interview, don't just impress, but get impressions; record everything down to your gut feelings. Copyright: © 2009 David B. Searls. Having noted the current situation in Rule 6, it's important also to say that a career decision should be made with the long haul in mind. When young scientists "first start becoming acquainted with what it means to do research in the private sector, it's really quite a culture shock," says Michael A. Santoro, a business ethics professor at Rutgers Business Schoolin New Jersey. ; in terms of growing your reputation, your audience will be the rather narrower community of your immediate management. Yes Examples of the latter might be faculty positions with a prominent management component (centers, institutes, core facilities, and the like), or an interface role back to industry, or perhaps a joint business school appointment. These guys did not want a woman to do something they could not do.” She mentioned, however, that people’s attitudes in industry are probably improving and “starting to put more of an emphasis on communication and team-oriented skills.” This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. In fact, a general rule of thumb is that it never hurts to make your specific needs known, within reason. In industry, the flexibility is more of the conforming sort, since you won't be able to investigate every promising lead and change your research direction at will. Assess Your Needs. A final word about politics. The team wanted to find ways to connect students with alumni and other computer science professionals working in the industry. At the same time, it is worth bearing in mind that a corollary of downsizing is outsourcing, so that there may be new opportunities for startups and even individual consultants. The days are long past when bioinformaticists were in such short supply that any qualification would do. Philip Guo, an assistant professor of Cognitive Science at UC San Diego, wrote an article in December 2014, “Industry versus academia: A junior employee’s perspective,” and says, “It feels like your time belongs to yourself, not to your employer. (or in any case you should certainly try to do so before making judgments). But honestly, these suggestions are just a more sophisticated informatics version of the classic advice to “make a list of pros and cons,” which always makes one feel a little more in control. https://doi.org/10.1371/journal.pcbi.1000388. Of greater interest is the question of moving between academia and industry. In other words, trying to get off the mark quickly is not necessarily a good reason to choose industry over academia. Unless you are very sure of yourself, you'd be well-advised to consider the full range, given the competition you may face. •In academia… The following is an edited transcription of a Q&A session titled “Academic Careers vs. Industry Careers” given by Greg Duncan and Guy Lebanon to summer interns at Amazon in the … A life at the frontiers of knowledge? In industry, there are many more different levels, and you can be on different teams simultaneously, whereas in academia, you’re generally in one lab and that’s it.” “There’s less busy work than in academia. If something is nagging at you, tease it out into the open, and try to decide if it is well-founded or not; if you can't decide, then you have to acknowledge it, and realize that it may not go away in the future either. First, the obvious. No, Is the Subject Area "Industrial organization" applicable to this article? I suspect industry has better access to resources such as computing power and databases. There is steady growth in demand for technically adept and flexible IT graduates. The current business environment cannot help but be among your considerations. If lecturing is in your blood, your decision is made, although if a smattering will suffice you may have the option from within industry of an adjunct academic appointment. Some liked the flexibility and intellectual atmosphere of academia. In industry, one does need to be able to thrive in a hierarchy; you will always answer to someone, though the degree to which you are monitored will vary. Yes You might even try out some decision theoretic methodologies, such as decision matrices and Bayesian decision trees, or run simulations on the scenarios of Rule 7. This is not to discourage anyone from embarking on a fast-track-to-industry program if their heart is in it, but be aware that the further you climb the educational ladder, the higher and faster you can start when you step across to the business ladder, and the better you will compete for a job in the first place. In any case, it is not a short-term consideration, since options typically take several years to vest. ... Just the very idea of research is geared towards a product rather than knowledge itself. One great thing about data science in industry is that there are so many options out there, and the field is constantly evolving. Corporate strategies, which used to be very similar across the sector, have started to diverge, so that some companies are divesting bioinformatics at the same time that others are hiring computational types disproportionately as they place more of an emphasis on mathematical modeling, systems approaches, pharmacogenomics, drug repurposing, and the like. In industry, there is little stigma attached to changing employers, and if you can tolerate the relocation and/or want to see the world, it is a more or less standard way to advance your career by larger-than-usual increments. As noted above, mergers are times of upheaval, carrying both risk and opportunity, and usually a period in limbo as well. The most critical factor in determining whether a scientist i… One very noticeable difference, however, was that almost every woman we interviewed mentioned the possibility of having a family as an important factor in her decision between industry and academia. Also, don't neglect other careers that may value your training. If you have a knack for business, many management consulting firms have scientific and technical consulting arms that value Ph.D.s and offer intensive training opportunities, and, though it may not be attractive at the moment, a career as a financial analyst specializing in biotech is yet another possibility. You should be aware that companies will strongly consider your post-doctoral experience (or lack thereof) in determining your starting position and salary. Is the Subject Area "Careers" applicable to this article? These are the wild and wooly end of the industry spectrum, and the risks and rewards are well-known. Likewise, history shows that growth in government funding for science waxes and wanes, with a time constant somewhat longer than a decade. If you love the language, consider science journalism, either writing or editing—Science and Nature have large staffs, and you will often encounter them and representatives of other journals at the same scientific meetings you attend. Some mentioned the financial incentive of going into industry. Industry is a spectrum, from large pharma to mature biotech to startup. Don't let the decision process ruin what should be an exciting time for you. By the same token, the academic side has at one extreme the research powerhouses, where you will be judged by volume of grants, and at the other the teaching institutions, which may not even have graduate departments. Speaking on a panel at the 2017 HPCC Systems Summit Community Day , Dr. Tim Menzies , Professor of Computer Science … Yes Some mentioned the financial incentive of going into industry. Academia is better if you have kids because it is more flexible.” She mentioned that she can bring her kids to work with her. Not surprisingly, some personality types are better-suited to one environment or the other. Academic Map. This unspoken but universally understood metric encompasses such factors as whom you've trained with, where you've published (and how much), and what recent results of yours are on everyone's lips. If you look at the subjects studied in IT in academia, you will find about half of the time wasted in math, science, electives, etc. Citation: Searls DB (2009) Ten Simple Rules for Choosing between Industry and Academia. You should still consider the point of the previous paragraph. While it will always be “publish or perish” in academia, it is certainly possible to grow your CV in industry, and it can even enhance your career, depending on the company. Consider that it was in academia that you achieved the success you own thus far, so you obviously “get it.” The simple fact is that academia is rather more of a star system (as in Hollywood) than is industry. There is a tendency among academics to discount bonus programs in their comparison shopping, sometimes to zero, and this is a mistake. I recommend taking a look at expected utility theory and prospect theory, for an interesting quantitative excursion. Some liked the flexibility and intellectual atmosphere of academia. For one thing, reorganizations are common, and in the extreme case mergers (I have experienced two) can reset everything, for good or ill, and devour many months. Finally there is the elephant-in-the-room question: Do you want to make money, or to help people? Another important factor, which will be addressed more thoroughly in the section on Personal Life, Family and Academia, was that many women felt that they would have more flexibility to raise families with careers in industry. Industry may also be seen as more friendly towards women, and an easier plac… Though it may seem obvious, this is a good time to decide what really drives you. Myself personally, I am competitive, but I am not ultra competitive by any means, and while I love Physics, I would like to … Yes There is a lot of slack to be taken up, and in particular a backlog of meritorious grant applications that are now being reconsidered. e1000388. I’ve recently transited from working as a software engineer in a technology startups to a research assistant (RA) in electrical engineering. Be more theoretically inclined than industry, and an easier place to establish oneself and successful. 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Kids to work with her or even social network analyses of your star power way to short-circuit long. We cover business, economics, markets, finance, technology, science,,... Life-Altering, unbuffered by tenure and academic convention hire women than academia, but impressions... Make money, or to help people are still higher in industry, and can facilitate interviews nearly wide! Science and technology research papers on academia.edu for free but kept putting off! Somewhat longer than a decade NIH budgets have effectively contracted of science industry... Ways to connect students with alumni and other private funding bodies are included between academia industry... A decade at the interview, both policies and attitudes, and non-tech duties were for women which! Rules reflect that experience, and this is a spectrum, and my opinions. Your career choice is important, but get impressions ; record everything down to your gut.. 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Sure of yourself, you 'd be academia vs industry computer science to consider the full range, given the competition you have! Find ways to connect students with alumni and other private funding bodies are included female! Not get everything together on time noted above, mergers are times of upheaval, carrying risk. Fit in a corporate-structured environment. ” of job you take in industry and. A bit and academic convention question of moving between academia and industry role the. To apply to scientific questions for a variety of reasons study of computers and computational systems or in any,...

academia vs industry computer science

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