Are you interested in an on-campus (remote) work opportunity? Are you legally allowed to work on on-campus jobs? First, carefully read the information provided in this page, and then, if interested, fill out the form available on the right. We will contact you sometime in December.
Thank you so much for showing interest! In a short period of time we received many applications. To avoid backlog we had to close the process for time being. Please stay tune for the next round.
Eligibility and More
We are looking for a dozen students to help us build a unique data product which will advance research in a number of domains, such as Space Weather, Heliophysics, and Computer Vision. This data product is the cornerstone of our multi-year project, which will consequently feed many other research efforts to come.
We are particularly interested in students who:
take pride in the quality and precision of their work, (this is #1 reason for students to stay on the project)
feel very comfortable using their computer and mouse (to paint over objects exactly as they appear on the screen),
are enrolled in a BS/MS program in GSU, preferably one from either the Physics & Astronomy department or the Computer Science department,
have access to a computer device (with a mouse and webcam) and a reliable internet connection.
people with disability (this is our #1 priority due to lack of enough opportunities for this community that allow fully-remote and asynchronous participation),
racial/ethnic and gender/sexuality minority groups,
those who currently do not have any other paid, on-campus responsibility.
students from relevant programs (CS, IT, Physics)
Start Date: Immediately after an online training session (mandatory)
Work Duration: up to 14 weeks (depending on the quality of the participant's work)
Work Demand: 8 hours / week (asynchronous)
Compensation: $15/hour (i.e., $120 for finishing one week's load of work; there is no partial payment)
What We Want?
We want to train our algorithm to do what trained eyes can do for a specific task. This starts with gathering a relatively large collection of what humans visually perceive of our target object, i.e., solar filaments. To do so, we need to first train a team of students to annotate solar filaments and then record their visual perception of many examples. This is where your contribution comes into play. When your annotation task is done, the product will pave the road for an array of research topics that is of interest to scientists in domains such as Heliophysics, Space Weather, and Computer Vision.
What to Annotate?
Filaments are huge arcs of plasma that appear in the solar corona and are visible in absorption of the H-alpha line on the disk, and in emission off the solar limb. We refer to such observations with H-alpha filters as H-alpha images.
On the right, you can see an example of a filament.
In this effort, in addition to each filament's location (bounding box), we are interested in its magnetic chirality (class) and shape (segmentation). Below you can see our previous model's results.
How to Annotate?
We teamed up with V7 for annotation of the H-Alpha images of the Sun. With an array of user-friendly tools offered by V7, not only can we speed up our manual annotation process by an order of magnitude but we can also produce much more precisely annotated data compared to what classical tools would have given us.
In the videos below (copied from V7's website), some of the tools available in V7 are surveyed.
The graphic below summarizes the flow of our work on a weekly basis. Our team will take care of many behind-the-scenes activities to ensure that the annotators receive the best quality of images, well-organized and on-time. As the diagram suggests, the entire team can move on to the next week if and only if each and every annotator finishes the annotation of their assigned images.
How to Apply?
Please fill out this form and wait for our email.
If you have any questions, please contact Dr. Ahmadzadeh at aahmadzadeh1 [at] gsu [dot] edu .