The CERN Summer Student Programme offers once-in-a-lifetime opportunity for undergraduate students of physics, computing and engineering to join one of their research projects with top scientists in multicultural teams at CERN in Geneva, Switzerland. In June 2017, I was very fortunate to be accepted to join the programme. I literally burst with joy as particle physics have always been my research interest and being able to conduct the research at CERN was simply a dream-come-true-experience for me! During the 2 months internship period, I did some analysis and simulation on the event reconstruction of terabytes of data via Worldwide LHC Computing Grid & Cloud Computing for Compact Muon Solenoid (CMS) Experiment. Besides, summer students also attended a series of lectures, workshops and visits to CERN facilities that covered a wide range of topics in the fields of theoretical and experimental particle physics and computing.
Machine Learning is one of the most exciting fields in the world. Every week we discover something new, something amazing, something revolutionary. It's incredible, but it can also be overwhelming. That's why we created This Week in Machine Learning! Each week we publish a curated list of Machine Learning stories as a resource to help you keep pace with all these exciting developments.
Some progress has been made in encouraging girls to study physics at A-level, according to a report by the Institute of Physics (IoP). In 2016, 1.9% of girls chose A-level physics, up from 1.6% in 2011. But that compared with 6.5% for boys in 2016 and 44% of schools in England still send no girls at all to study the subject. The IoP said physics-based skills were essential for many future careers, from artificial intelligence to aerospace. However, the gender balance at physics A-level in England's schools has changed little in decades, with only 20% being female.
The demand for data science and machine learning jobs is rapidly rising and the gap between this demand and the number of data scientists available is still very wide. Now, people from an engineering background and pure sciences are shifting their careers in the field of ML. Physics is one such background which falls into this category because of the high level of logic and mathematics required in an ML job. Physics research requires dealing with a lot of data, just like ML. Physicists are also proficient in at least one programming language -- most likely Python, as it is popular in the Physics community as well. There are many physicists today who are data scientists.