陶哲轩的职业建议
职业建议
建议是我们已经知道答案但希望不是那个答案时所寻求的东西。 (埃丽卡·琼)
以下是我收集的关于数学学术职业生涯问题的各种建议,大致按照这些建议最相关的职业阶段进行排列(当然,其中一些建议适用于多个阶段)。
免责声明:这里的建议本质上是非常宽泛的;我并不认为自己拥有可以解决所有职业问题的“灵丹妙药”。在做出任何重要的职业决定之前,你当然需要评估许多针对你个人情况的因素、背景和需求,并运用大量的常识。我特别建议你 与你的导师讨论此类决定(如果你有导师的话),因为他们熟悉你的情况,很可能能提供相关的建议。此外,需要明确的是,这些建议大多是针对数学领域的学术职业生涯;当然,除此之外还有许多其他职业选择,但我无法为这些替代方案提供特别专业的建议。
- 小学阶段
- 中学阶段
- 本科阶段
- 如何才能更好地 解决数学问题?请注意,数学不只是分数、考试和方法;数学也不只是严谨和证明。重视 部分进展,将其视为迈向完整解决方案的关键垫脚石 也很重要。
- 不要将职业决策建立在光鲜或名气的基础上。但你应该 在不同的地方学习。
- 做数学一定要是天才吗?
- 我在 2022 年对哈维·穆德学院毕业生的毕业典礼致辞 (视频)。
- 研究生阶段
- 努力 工作 并 专业地工作 很重要。但 享受你的工作 也同样重要。
- 向前看 以理解未来的方向;问自己愚蠢的问题 以理解之前的方向。
- 参加讲座和会议,即使它们与你的工作没有直接关系。
- 与你的导师交谈,但也要 采取主动。
- 不要 过早地痴迷于一个“大问题”或“大理论”。
- 写下你所做的工作,并 公开你的工作。关于这一点,我有一些关于 如何撰写和提交论文 的建议。
- ““擦肩而过:一次近乎失败的经历如何推动我成功”,陶哲轩,美国数学会通告,2020 年 8 月。最初收录于““活着的证明:数学旅程中的坚韧故事”,美国数学会,2019 年。编者:Allison Henrich, Emille Lawrence, Matthew Pons, David Taylor。
- 博士后阶段
- 学习和重新学习你的领域,但 不要害怕学习领域以外的东西。
- 了解你工具的局限性,但也要 了解其他数学家工具的力量。特别是,你应该 不断地将目标定在你目前能力范围之外。
- 在你的研究中,要 灵活 也要 耐心。
- 如果有机会,你一定要去旅行并展示你的研究成果。但要 顾及你的听众;讲座 不同于论文。
- 对自己的工作持怀疑态度,不要害怕 使用废纸篓。
我也正在(慢慢地)整理我作为一名研究数学家对时间管理的思考。
- 关于这个话题的一些一般性思考。
- 将低强度任务批量处理,以利用规模经济效应并减少分心。
- 专业数学家使用的工具有哪些实用但鲜为人知的功能?
更多建议:
- 约翰·拜兹(John Baez)的职业建议页面。
- 波·布朗森(Po Bronson)关于 天赋智力与努力的相对重要性的文章。
- 凯瑟琳·坎尼佐(Catherine Cannizzo)的“博士后申请”。
- 范 chung(Fan Chung)对 研究生的建议。
- 兰斯·福特诺(Lance Fortnow)的“研究生指南”。
- 奥德·戈德赖希(Oded Goldreich)的“论我们作为科学家的职责”。
- 理查德·汉明(Richard Hamming)的“一次天才的顿悟:力求在所做的一切中追求卓越”。
- 马特·迈特(Matt Might)的“博士图解指南”。
- 吉安-卡洛·罗塔(Gian-Carlo Rota)的“我希望我被教导过的十课”。
- J.迈克尔·斯蒂尔(J. Michael Steele)的“对统计学研究生的建议。”
- 伊恩·斯图尔特(Ian Stewart)的“致青年数学家的信”。
- 拉维·瓦基尔(Ravi Vakil)的“致潜在学生”。
- 雷米·范·多本·德·布鲁因(Remy van Dobben de Bruyn)的“博士后申请时间线”。
- 劳伦·威廉姆斯(Lauren William)的“在数学领域寻找博士后职位”。
- 《普林斯顿数学指南》中 对青年数学家的建议 部分,由 迈克尔·阿蒂亚爵士、贝拉·博洛巴斯、阿兰·科内斯、杜莎·麦克杜夫 和 彼得·萨尔纳克 撰稿。
- 美国数学会通告中的早期职业文章
- 美国数学会研究生博客
- Mathematics Stack Exchange 有 许多关于职业发展的问题和答案(人们可以在该网站上提出尚未提出的问题)。MathOverflow 也有类似的 关于职业的问题和答案。最后,Academia Stack Exchange 有大量关于所有学术事宜(包括职业问题)的问题和答案。
Advice is what we ask for when we already know the answer but wish we didn’t. (Erica Jong)
Here is my collection of various pieces of advice on academic career issues in mathematics, roughly arranged by the stage of career at which the advice is most pertinent (though of course some of the advice pertains to multiple stages).
Disclaimer: The advice here is very generic in nature; I don’t pretend to have any sort of “silver bullet” that will solve all career issues. You will of course need to evaluate many factors, contexts, and needs specific to your own situation, as well as employing a healthy dose of common sense, before making any important career decisions. I would in particular recommend discussing such decisions with your advisor if you have one, as he or she will be familiar with your situation and will likely be able to provide pertinent advice. Also, it should be clear that most of this advice is targeted towards academic careers in mathematics; of course, there are many other career options available besides this, but I have no particularly informed advice to offer for such alternatives.
- Primary school level
- High school level
- Undergraduate level
- How can one become better at solving mathematical problems? Note that there is more to maths than grades and exams and methods; there is also more to maths than rigour and proofs. It is also important to value partial progress, as a crucial stepping stone to a complete solution of a problem.
- Don’t base career decisions on glamour or fame. But you should study at different places.
- Does one have to be a genius to succeed at maths?
- My commencement address to Harvey Mudd graduates in 2022 (video).
- Graduate level
- It is important to work hard, and work professionally. But it is also important to enjoy your work.
- Think ahead to understand the way forward; ask yourself dumb questions to understand the way before.
- Attend talks and conferences, even those not directly related to your own work.
- Talk to your advisor, but also take the initiative.
- Don’t prematurely obsess on a single “big problem” or “big theory”.
- Write down what you’ve done, and make your work available. In this regard, I have some advice on how to write and submit papers.
- “ A close call: how a near failure propelled me to succeed “, T. Tao, Notices of the American Mathematical Society, August 2020. Originally contributed to “ Living proof: stories of resilience along the mathematical journey “, American Mathematical Society, 2019. Eds: Allison Henrich, Emille Lawrence, Matthew Pons, David Taylor.
- Postdoctoral level
- Learn and relearn your field, but don’t be afraid to learn things outside your field.
- Learn the limitations of your tools, but also learn the power of other mathematician’s tools. In particular, you should continually aim just beyond your current range.
- In your research, be both flexible and patient.
- You should definitely travel and present your research if given the opportunity. But be considerate of your audience; talks are not the same as papers.
- Be sceptical of your own work, and don’t be afraid to use the wastebasket.
I am also (slowly) in the process of gathering my thoughts on time management from the perspective of a research mathematician.
- Here are some general thoughts on this topic.
- Batch low-intensity tasks together to take advantage of economies of scale and to reduce distraction.
- What are some useful, but little-known, features of the tools used by professional mathematicians?
More advice:
- John Baez’s page on career advice.
- Po Bronson’s article on the relative importance of innate intelligence versus effort.
- Catherine Cannizzo’s “ Postdoc applications “.
- Fan Chung’s advice for graduate students.
- Lance Fortnow’s “ Graduate Student Guide “.
- Oded Goldreich’s “ On our duties as scientists “.
- Richard Hamming’s “ A stroke of genius: striving for greatness in all you do “.
- Matt Might’s “ Illustrated guide to a Ph.D.“
- Gian-Carlo Rota’s “ Ten lessons I wish I had been taught ”.
- J. Michael Steele’s “ Advice for Graduate Students in Statistics.”
- Ian Stewart’s “ Letters to a Young Mathematician “.
- Ravi Vakil’s “ For potential students “.
- Remy van Dobben de Bruyn’s “ Timeline of postdoc applications “.
- Lauren William’s “ Finding a postdoctoral position in mathematics “.
- The Princeton Companion to Mathematics ‘ section on advice to younger mathematicians, with contributions by Sir Michael Atiyah, Béla Bollobás, Alain Connes, Dusa McDuff, and Peter Sarnak.
- Early career articles in the Notices of the AMS
- AMS graduate student blog
- The Mathematics Stack Exchange has a number of questions and answers on career development (and one can ask further questions that have not already been posed on that site). MathOverflow similarly has questions and answers on careers. Finally, the Academia Stack Exchange has a large number of questions and answers on all academic matters, including career issues.