• Experience with the relevant Python libraries (numpy, scipy, and sklearn)
  • Math and Python resources here: https://github.com/NeuromatchAcademy/precourse.
• Minimum 2 years of experience in computational neuroscience
• Some exposure to neuroscience concepts
  • If you are new to neuroscience, we will have precourse material on neuroscience that is mandatory for you to watch (~2 hours of content). We also recommend watching videos 1.1-1.6 and 2.1-2.4 from this coursera course. Here is also a short read on neuroscience.

• Experience with the relevant Python libraries (numpy, scipy, and sklearn)
  • Math and Python resources here: https://github.com/NeuromatchAcademy/precourse.
• Minimum 2 years of experience in computational neuroscience and/or machine learning
• Some exposure to neuroscience concepts
  • If you are new to neuroscience, we will have precourse material on neuroscience that is mandatory for you to watch (~2 hours of content). We also recommend watching videos 1.1-1.6 and 2.1-2.4 from this Coursera course. Here is also a short read on neuroscience.

• Experience with the relevant Python libraries (numpy, scipy, and sklearn)
• Minimum 2 years of experience in computational neuroscience and AI
• Strong preference for TAs who have participated in our CN or DL course

• Experience with the relevant Python libraries (numpy, matplotlib, pandas, cartopy, datetime, dataformats)
  • Python resources can be found through Project Pythia.
• Minimum 2 years of experience in climate science
• Knowledge in physics, chemistry, and statistics.

• Full-time, 8-hours/day, 5 days a week
• Work with 1 pod (14-18 students)
• Attend all synchronous tutorial times with your pod
  • Utilize problem based learning and peer-to-peer programming teaching methods, and support the students to move through the content, including facilitating discussions and guidance through Python tutorials
  • ~4.5 hours per day including a 1-hour break
  • Ensure students are able to take scheduled breaks
• Support students during project time. Attend 45 minutes with each of the two project groups in your pod (total of 1.5 hours per day)
  • Support with project development and Python coding
• Additional daily and as-needed tasks (total of 2 hours per day):
  • Review all course content ahead of time to be able to guide students and answer questions
  • Track students’ attendance, review attendance waivers, and award Completion Certificates
  • Schedule meetings with your pod’s assigned Mentor
  • Manage your pod Discord channel and reply to student questions and requests
• Complete all asynchronous TA training and attend one half-day synchronous training via Zoom
• Attend 2-hour Orientation

• Full-time, 8-hours/day, 5 days a week
  • Higher compensation for additional expertise and commitment
• All responsibilities of a regular TA
• Have previous experience as a TA in an Academy course
• Support 7-8 regular TAs that make up a megapod
  • This includes support with content questions, pod dynamics, making sure TAs are prepared for the course, and answering other policy-related questions
• Familiarize yourself with all content ahead of the course
  • Answer content-based questions for regular TAs
• Manage TA absences by communicating with the pod and merging the pod with the absent TA into another pod from your megapod
• Schedule project presentations for your megapod on the last day
• Complete all asynchronous TA training and attend two half-day synchronous training via Zoom including one day just for Lead TAs and one day for all TAs
  • Actively participate in general TA training for your megapod
• Attend 2-hour Orientation

• Full-time, 8-hours/day, 5 days a week
• Work across two time slots during their project block
• Have experience leading graduate-level research projects
• Guide and support 7-8 project groups (usually 5-7 students per group). Including support with:
  • Brainstorming
  • Forming a research question
  • Doing literature reviews
  • Developing Python code
  • Preparing an abstract and project presentation
• Be an expert in the dataset(s) you are assigned to
  • You will select your preferred dataset in the application
• Meet with each project group daily or every other day for either an hour or 2 hours at a time respectively
• Respond to questions and requests of your pods in Discord
• Complete all asynchronous TA training and attend one half-day synchronous training via Zoom
• Attend 2-hour Orientation
• Scheduling Note: Project TAs work during two different timeslot’s project blocks, they do not work during curriculum time. You must be available for at least two project timeslots. Please note this when applying.

• Full-time, 8-hours/day, 5 days a week
  • Higher compensation for additional expertise and commitment
• All responsibilities of a regular Project TA
• Have previous experience as a Project TA in an Academy course
• Support the regular Project TAs
  • This includes support with content questions, pod dynamics, and ensuring Project TAs are prepared for the course
  • Plan and run weekly meetings for Project TAs to support each other and problem-solve 
• Assist in complex project troubleshooting and advanced coding issues
• Complete all asynchronous TA training and attend two half-day synchronous training via Zoom
• Attend 2-hour Orientation
• Scheduling Note: Project TAs work during two different timeslot’s project blocks, they do not work during curriculum time. You must be available for at least two project timeslots. Please note this when applying.

Please email nma@neuromatch.io and ask us to delete that application. You’ll be able to resubmit your application!

Yes. We define an undergraduate degree as a ~4-year program where all academic requirements for graduation are completed. In some fields and/or regions—such as medicine or engineering—degrees may be conferred only after mandatory industry internships, national licensing exams, or additional basic training periods, which serve as professional rather than academic requirements in most cases. If you’ve finished your coursework but are awaiting such steps, you’re still eligible to apply as a TA.

We’ve created a guide that walks TAs through accepting their offer and the several tax and payment forms they need to fill out. See our Teaching Assistant Payment Instructions.

Yes, you can submit applications for both roles, but you will only be accepted for one.

We offer 5 time slots to accommodate participants globally. You can see which time slot is best for you here. After you’ve been matched to your pod, you’ll be able to see your pods time slot in the portal.

The main language of instruction will be English, and all materials will be in English. In addition, many of our students will be grouped into pods where the TA and students all share another language. Language pods are subject to availability and cannot be guaranteed.

We use an algorithm [1, 2, 3] to place people in complementary groups based on common interests, time availability, seniority, and in many cases shared language. This will allow students to meet online at a time and context that is most convenient for them.

Nope!

Yes! Iranian residents can apply to be either a student or a TA. Since the founding of our courses in 2020, we have prioritized global inclusion and have received a sanctions exceptions for all our courses that allows us to run our course in Iran.

You have to complete your Profile in the upper right before you begin. There is also an email verification that you need to complete before your account is active.

We have not been able to test our application on mobile browsers. Please try to use a computer with a normal display instead.

Yes, both students and TAs will receive a certificate of completion. Students must comply with our Attendance Policy. Certificates are in the Profile page of Portal, under Documents. Students and TAs must complete the end of course survey to access their certificate. If you choose to connect your Portal account to your ORCiD account, you can publish your certificate via ORCiD.