Research Intern - Immunomics

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Virtual Internship

Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers. Our researchers and engineers pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment.

Many physicists have wondered how the universe chooses its basic laws. One idea is that the laws-or the parameters that characterize them, such as the masses of the different quarks and leptons, can evolve in time. Several mechanisms have been proposed, which can be visualized as a point representing the universe moving on a vast landscape of possible laws. This turns out to be a process that can be efficiently simulated by a deep neural network. We continue our work started in 2020 building and running models to investigate this and other ideas about how the universe chose or learnt its laws. Project co-led by Microsoft researcher Jaron Lanier, Lee Smolin of the Perimeter Institute for Theoretical Physics, and Stephon Alexander of Brown University.

Responsibilities

Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, students are paired with mentors and expected to collaborate with other interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summe

Qualifications

In addition to the qualifications below, you’ll need to submit a minimum of two reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Required Qualifications

• Must have at least 1 year of experience in research related to machine learning or closely related topics and physics.”
• Must currently be a PhD candidate in math, physics, computer science, or closely related fields
• Participation in the Research Internship Program requires that you are physically located in the United States or Canada for the duration of the internship

Preferred Qualifications

• Has demonstrated a broad understanding of varied approaches to machine learning in theoretical physics by having been a TA, participated in a review paper, organized meetings or conferences, or similar.
• Has been noted for creativity and originality in research.
• Is able to self-discipline and function well in physical isolation from collaborators, in light of the likely requirement that work will still be done remotely.