• Companies are not looking for particular degrees, they hire students from a wide range of programs, including psychology, chemistry, OR, economics, etc. They do seem to prefer mathematicians, expecting to see such students with demonstrable problem-solving capabilities and the ability to think and analyse.
• They look for people with good communication skills, for example, to talk with clients. A job experience, of any kind, it is very good in this respect.
• Software and technical skills are often a secondary requirement. Most companies train their employees.
• It is good to have experience in any software, meaning that you know the logic of how software work and you can learn a new one.
The advent of online shopping, smart phones and social media services, such as facebook, has meant that there is a wealth of data about
consumers available to companies. One famous early application of
these ideas was google using search terms to map the spread of flu. The analysis of this use amount of data is called: “Big Data”.
What happens when a piece of research is done and published in a journal, or at least submitted to a preprint server at Cornell? The next step is to tell other people about it, by presenting a talk conference or giving a seminar at another University.
Since the advent of the laser in the early 1960s, quantum electrodynamics (QED) has been used to predict a variety of new phenomena when charged particles interact with intense laser pulses.
Recent progress in high-intensity laser technology has put several of these phenomena in reach of near-future experiments. Unlike the technology, the progress of theory understanding beyond what was calculated by the 1970s has been limited. In this talk, I will outline some of the theory successes of laser-based strong-field QED and discuss the main challenges and potential benefits of solving them.