I posted this on LW as well, but I have being reading content from EA forum + LW sporadically for the last several years; only recently, though, did I find myself visiting here several times per day, and have made an account given my heightened presence.
I am graduating with a B.A. in Neuroscience and Mathematics this January. My current desire is to find remote work (this is important to me) that involves one or more of: [machine learning, mathematics, statistics, global priorities research].
In spirit of the post The topic is not the content, I would like to spend my time (the order is arbitrary) doing at least some of the following: discussing research with highly motivated individuals, conducting research on machine learning theory, specifically relating to NN efficiency and learnability, writing literature reviews on cause areas, developing computational models and creating web-scraped datasets to measure the extent of a problem or the efficacy of potential solution, and recommending courses-of-action (based on my assessments generated from the previous listed entity).
Generally, my skill set and current desires lead me to believe that I will find advancing the capabilities of machine learning systems, quantifying and defining problem afflicting humans, and synthesizing research literature to inform action, all fulfilling, and that I will be effective in working on these things done as well.
It is my plan to attend graduate school for one of [machine learning, optimization, computer science] at some point in life (my estimate is around the age of 27-30), but I would first like to experiment with working at an EA affiliated organization (global priorities research) or in industry doing machine learning research. I am aware that it is difficult to get a decent research position without a Master’s or PhD, but I believe it is still worth trying for. I have worked on research projects in computational neuroscience/chemistry for one company and three different professors at my school, but none of these projects turned into publications. This summer, I am at a research internship and am about to submit my research on ensemble learning for splice site prediction for review in the journal Bioinformatics—I am 70% confident that this work will get published, with me as the first author. Additionally, my advisor said he’d be willing to work with me to publish a dataset of 5000 fossil images I’ve taken of various fossils from my collection. While this work is not in machine learning theory, it increases my capacity for being hired and is helping me refine my competence as a researcher / scientist.
I am planning on attending EA Global in October, but this is dependent upon how significant an issue COVID is at that point.
I posted this on LW as well, but I have being reading content from EA forum + LW sporadically for the last several years; only recently, though, did I find myself visiting here several times per day, and have made an account given my heightened presence.
I am graduating with a B.A. in Neuroscience and Mathematics this January. My current desire is to find remote work (this is important to me) that involves one or more of: [machine learning, mathematics, statistics, global priorities research].
In spirit of the post The topic is not the content, I would like to spend my time (the order is arbitrary) doing at least some of the following: discussing research with highly motivated individuals, conducting research on machine learning theory, specifically relating to NN efficiency and learnability, writing literature reviews on cause areas, developing computational models and creating web-scraped datasets to measure the extent of a problem or the efficacy of potential solution, and recommending courses-of-action (based on my assessments generated from the previous listed entity).
Generally, my skill set and current desires lead me to believe that I will find advancing the capabilities of machine learning systems, quantifying and defining problem afflicting humans, and synthesizing research literature to inform action, all fulfilling, and that I will be effective in working on these things done as well.
It is my plan to attend graduate school for one of [machine learning, optimization, computer science] at some point in life (my estimate is around the age of 27-30), but I would first like to experiment with working at an EA affiliated organization (global priorities research) or in industry doing machine learning research. I am aware that it is difficult to get a decent research position without a Master’s or PhD, but I believe it is still worth trying for. I have worked on research projects in computational neuroscience/chemistry for one company and three different professors at my school, but none of these projects turned into publications. This summer, I am at a research internship and am about to submit my research on ensemble learning for splice site prediction for review in the journal Bioinformatics—I am 70% confident that this work will get published, with me as the first author. Additionally, my advisor said he’d be willing to work with me to publish a dataset of 5000 fossil images I’ve taken of various fossils from my collection. While this work is not in machine learning theory, it increases my capacity for being hired and is helping me refine my competence as a researcher / scientist.
I am planning on attending EA Global in October, but this is dependent upon how significant an issue COVID is at that point.
Nice to see that you’ve made the transition from lurker to poster :-)
I hope the paper gets published, and that EA Global goes as planned.