Doctoral Student - Funded - Computer Science
for headings. Use - for lists,
for prose.
We need to extract content from posting.
Let's parse:
First paragraph: "This Ph.D. position offers the opportunity to contribute to next-generation AI solutions for space-weather forecasting and preparedness in support of NASA's Artemis Program. The successful candidate will join the Earth-Space AI Research (ESAIR) lab, an interdisciplinary research team working at the intersection of artificial intelligence, data science, and space physics. Research activities include developing advanced machine learning algorithms, designing robust evaluation methodologies, and analyzing massive volumes of vision-based and scientific sensor data collected from space- and ground-based observatories. The project aims to obtain a better estimate of the costs of extreme space-weather events and find innovative ways to incorporate such costs into model training and evaluation, and thereby improving the accuracy, reliability, and operational usefulness of space weather forecasting systems, ultimately contributing to the preparedness and safety of astronauts and mission operations during extreme space weather events. Candidates will gain experience with state-of-the-art ML/DL frameworks, high-performance computing, and collaborative research with scientists from leading research institutions and NASA centers. The admitted candidate will be granted an internship at a NASA center, where they will work on this project under the direct supervision of NASA scientists who are responsible for ensuring that the radiation exposure received by astronauts remains below established safety limits. This is a funded position and it covers both tuition and stipend. The continuation of support is contingent upon the student's performance and the availability of funds beyond this project. ESAIR is part of the Department of Computer Science of the University of Missouri–St. Louis (UMSL). UMSL is the largest public research university in eastern Missouri, serving over 15,000 students and offering strong learning and leadership opportunities to a diverse community. Located on a 350-acre campus in suburban St. Louis County, UMSL features modern and historic academic buildings along with varied student housing options. Students benefit from access to outstanding faculty and internships with regional companies and organizations in a major metropolitan area. UMSL alumni, more than 75,000 of whom live in the St. Louis region, significantly impact the local economy and social well-being. Established in 1963 as part of the University of Missouri System, UMSL hosts academic programs that consistently earn high rankings."
Then "Role Description This full-time, funded Doctoral Student role in Computer Science involves conducting original research under the supervision of Dr. Ahmadzadeh, contributing to publications, and presenting results at seminars and conferences. The doctoral student will engage in coursework, attend research group meetings, and collaborate with other lab members on projects aligned with lab's priorities. This is an on-site role, requiring regular presence for research, coursework, and departmental activities. Note: This is only for U.S. citizens, U.S. nationals, or U.S. lawful permanent residents."
Then "QualificationsSolid foundation in Computer Science, including core theoretical and applied concepts.Proficiency in Programming in Python to design and execute compute-demanding experiments.Strong Analytical Skills for problem-solving, data interpretation, and experimental design.Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team.Demonstrated Research experience or potential, including prior projects, theses, or publications.Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields."
Then "To apply, please follow the instruction: https://www.esairlab.com/hiring#h.5c8y7z4t964w"
We need to remove application instructions.
We need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule.
We need to map content.
About the role: Could be description of position, mission, lab, etc. Use first paragraph(s) up to Role Description? Probably "About the role" includes overview: Ph.D. position, AI solutions for space-weather forecasting, NASA Artemis, ESAIR lab, etc.
Responsibilities: Could be from Role Description: conducting original research, contributing to publications, presenting results, engaging in coursework, attending meetings, collaborating, on-site presence.
Requirements: Might be citizenship requirement? Or maybe "Note: This is only for U.S. citizens..." That's a requirement.
Qualifications: The list under Qualifications.
Skills: Could be programming Python, analytical skills, communication skills, research experience.
Benefits: Funded position covering tuition and stipend, internship at NASA center, continuation contingent on performance/funds.
Pay: Not specified explicitly; they say funded position covers tuition and stipend but no amount. Should we include Pay? The rule: never create Pay/Schedule/Benefits sections unless posting actually states them. They mention stipend but not amount. Is that enough? It says "covers both tuition and stipend." That is a benefit, not a specific pay amount. Pay section likely not appropriate because no specific pay figure. So we should omit Pay.
Schedule: Not mentioned besides on-site role requiring regular presence. No schedule details. So omit Schedule.
Benefits: we have funded position covering tuition and stipend, internship at NASA center, continuation contingent on performance/funds. That's specific enough.
Thus sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits.
We need to ensure we don't include placeholder like "commensurate with experience". Not present.
Now craft HTML.
Use
About the role
then ...
. For lists use - .
We need to preserve all substantive information, not invent or summarize away detail. Must keep details like NASA Artemis, ESAIR lab, activities, etc.
Let's draft About the role paragraph: combine first paragraph up to before Role Description? Might be long. We'll include all descriptive content before Role Description.
Responsibilities: from Role Description: conducting original research under supervision of Dr. Ahmadzadeh, contributing to publications, presenting results at seminars and conferences; engage in coursework, attend research group meetings, collaborate with other lab members on projects aligned with lab's priorities; on-site role requiring regular presence for research, coursework, and departmental activities. Also note citizenship requirement? That is requirement not responsibility.
Requirements: citizenship: U.S. citizens, U.S. nationals, or U.S. lawful permanent residents.
Qualifications: list items: Solid foundation in Computer Science, including core theoretical and applied concepts; Proficiency in Programming in Python to design and execute compute-demanding experiments; Strong Analytical Skills for problem-solving, data interpretation, and experimental design; Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team; Demonstrated Research experience or potential, including prior projects, theses, or publications; Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields.
Skills: Could be same as qualifications? But we need separate Skills section maybe list programming Python, analytical skills, communication skills, research experience. However qualifications already cover those. To avoid duplication, maybe we treat Qualifications as the list, and Skills as a subset? But instructions: prefer few substantive sections over many thin ones. Could combine Qualifications and Skills? But they ask to use headings for those sections if content exists. We have content for both Qualifications and Skills. Could we put skills inside Qualifications? Might be okay to have both but ensure not duplicate. Let's extract skills: Programming in Python, Analytical skills, Communication skills, Research experience. Those are also in qualifications. Could we keep Qualifications as the list and Skills as a brief summary? Might be duplication but still substantive. However risk of being considered thin? Might be okay.
Better: Make Qualifications section include the list; Skills section maybe not needed. But we have explicit skills mentioned: "Proficiency in Programming in Python", "Strong Analytical Skills", "Effective Communication skills", "Demonstrated Research experience". Those are skills. Could put them in Skills section as a list, and Qualifications section could include degree requirement and foundation. But the qualifications list includes those anyway. To avoid duplication, we could split: Qualifications: degree requirement and foundation in CS; Skills: programming, analytical, communication, research. However the original text lumps them together. But we can still separate as long as we preserve all info.
Let's parse qualifications text: "Solid foundation in Computer Science, including core theoretical and applied concepts.Proficiency in Programming in Python to design and execute compute-demanding experiments.Strong Analytical Skills for problem-solving, data interpretation, and experimental design.Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team.Demonstrated Research experience or potential, including prior projects, theses, or publications.Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields."
We can split into two lists: Qualifications: Solid foundation in CS, Completion of master's/bachelor's. Skills: Proficiency in Python, Strong Analytical Skills, Effective Communication skills, Demonstrated Research experience.
That seems reasonable.
Now Benefits: Funded position covers tuition and stipend; admitted candidate granted internship at NASA center under supervision of NASA scientists ensuring radiation exposure limits; continuation of support contingent on student's performance and availability of funds beyond project.
Now craft HTML.
We'll need to ensure no extra whitespace issues.
Let's produce:
About the role
This Ph.D. position offers the opportunity to contribute to next-generation AI solutions for space-weather forecasting and preparedness in support of NASA's Artemis Program. The successful candidate will join the Earth-Space AI Research (ESAIR) lab, an interdisciplinary research team working at the intersection of artificial intelligence, data science, and space physics. Research activities include developing advanced machine learning algorithms, designing robust evaluation methodologies, and analyzing massive volumes of vision-based and scientific sensor data collected from space- and ground-based observatories. The project aims to obtain a better estimate of the costs of extreme space-weather events and find innovative ways to incorporate such costs into model training and evaluation, thereby improving the accuracy, reliability, and operational usefulness of space weather forecasting systems, ultimately contributing to the preparedness and safety of astronauts and mission operations during extreme space weather events. Candidates will gain experience with state-of-the-art ML/DL frameworks, high-performance computing, and collaborative research with scientists from leading research institutions and NASA centers. The admitted candidate will be granted an internship at a NASA center, where they will work on this project under the direct supervision of NASA scientists who are responsible for ensuring that the radiation exposure received by astronauts remains below established safety limits. ESAIR is part of the Department of Computer Science of the University of Missouri–St. Louis (UMSL). UMSL is the largest public research university in eastern Missouri, serving over 15,000 students and offering strong learning and leadership opportunities to a diverse community. Located on a 350-acre campus in suburban St. Louis County, UMSL features modern and historic academic buildings along with varied student housing options. Students benefit from access to outstanding faculty and internships with regional companies and organizations in a major metropolitan area. UMSL alumni, more than 75,000 of whom live in the St. Louis region, significantly impact the local economy and social well-being. Established in 1963 as part of the University of Missouri System, UMSL hosts academic programs that consistently earn high rankings.
Responsibilities
- Conduct original research under the supervision of Dr. Ahmadzadeh
- Contribute to publications and present results at seminars and conferences
- Engage in coursework, attend research group meetings, and collaborate with other lab members on projects aligned with lab priorities
- Perform work on-site, requiring regular presence for research, coursework, and departmental activities
Requirements
U.S. citizenship, U.S.
for prose. We need to extract content from posting. Let's parse: First paragraph: "This Ph.D. position offers the opportunity to contribute to next-generation AI solutions for space-weather forecasting and preparedness in support of NASA's Artemis Program. The successful candidate will join the Earth-Space AI Research (ESAIR) lab, an interdisciplinary research team working at the intersection of artificial intelligence, data science, and space physics. Research activities include developing advanced machine learning algorithms, designing robust evaluation methodologies, and analyzing massive volumes of vision-based and scientific sensor data collected from space- and ground-based observatories. The project aims to obtain a better estimate of the costs of extreme space-weather events and find innovative ways to incorporate such costs into model training and evaluation, and thereby improving the accuracy, reliability, and operational usefulness of space weather forecasting systems, ultimately contributing to the preparedness and safety of astronauts and mission operations during extreme space weather events. Candidates will gain experience with state-of-the-art ML/DL frameworks, high-performance computing, and collaborative research with scientists from leading research institutions and NASA centers. The admitted candidate will be granted an internship at a NASA center, where they will work on this project under the direct supervision of NASA scientists who are responsible for ensuring that the radiation exposure received by astronauts remains below established safety limits. This is a funded position and it covers both tuition and stipend. The continuation of support is contingent upon the student's performance and the availability of funds beyond this project. ESAIR is part of the Department of Computer Science of the University of Missouri–St. Louis (UMSL). UMSL is the largest public research university in eastern Missouri, serving over 15,000 students and offering strong learning and leadership opportunities to a diverse community. Located on a 350-acre campus in suburban St. Louis County, UMSL features modern and historic academic buildings along with varied student housing options. Students benefit from access to outstanding faculty and internships with regional companies and organizations in a major metropolitan area. UMSL alumni, more than 75,000 of whom live in the St. Louis region, significantly impact the local economy and social well-being. Established in 1963 as part of the University of Missouri System, UMSL hosts academic programs that consistently earn high rankings." Then "Role Description This full-time, funded Doctoral Student role in Computer Science involves conducting original research under the supervision of Dr. Ahmadzadeh, contributing to publications, and presenting results at seminars and conferences. The doctoral student will engage in coursework, attend research group meetings, and collaborate with other lab members on projects aligned with lab's priorities. This is an on-site role, requiring regular presence for research, coursework, and departmental activities. Note: This is only for U.S. citizens, U.S. nationals, or U.S. lawful permanent residents." Then "QualificationsSolid foundation in Computer Science, including core theoretical and applied concepts.Proficiency in Programming in Python to design and execute compute-demanding experiments.Strong Analytical Skills for problem-solving, data interpretation, and experimental design.Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team.Demonstrated Research experience or potential, including prior projects, theses, or publications.Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields." Then "To apply, please follow the instruction: https://www.esairlab.com/hiring#h.5c8y7z4t964w" We need to remove application instructions. We need sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to map content. About the role: Could be description of position, mission, lab, etc. Use first paragraph(s) up to Role Description? Probably "About the role" includes overview: Ph.D. position, AI solutions for space-weather forecasting, NASA Artemis, ESAIR lab, etc. Responsibilities: Could be from Role Description: conducting original research, contributing to publications, presenting results, engaging in coursework, attending meetings, collaborating, on-site presence. Requirements: Might be citizenship requirement? Or maybe "Note: This is only for U.S. citizens..." That's a requirement. Qualifications: The list under Qualifications. Skills: Could be programming Python, analytical skills, communication skills, research experience. Benefits: Funded position covering tuition and stipend, internship at NASA center, continuation contingent on performance/funds. Pay: Not specified explicitly; they say funded position covers tuition and stipend but no amount. Should we include Pay? The rule: never create Pay/Schedule/Benefits sections unless posting actually states them. They mention stipend but not amount. Is that enough? It says "covers both tuition and stipend." That is a benefit, not a specific pay amount. Pay section likely not appropriate because no specific pay figure. So we should omit Pay. Schedule: Not mentioned besides on-site role requiring regular presence. No schedule details. So omit Schedule. Benefits: we have funded position covering tuition and stipend, internship at NASA center, continuation contingent on performance/funds. That's specific enough. Thus sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits. We need to ensure we don't include placeholder like "commensurate with experience". Not present. Now craft HTML. Use
About the role
then...
. For lists use- .
We need to preserve all substantive information, not invent or summarize away detail. Must keep details like NASA Artemis, ESAIR lab, activities, etc.
Let's draft About the role paragraph: combine first paragraph up to before Role Description? Might be long. We'll include all descriptive content before Role Description.
Responsibilities: from Role Description: conducting original research under supervision of Dr. Ahmadzadeh, contributing to publications, presenting results at seminars and conferences; engage in coursework, attend research group meetings, collaborate with other lab members on projects aligned with lab's priorities; on-site role requiring regular presence for research, coursework, and departmental activities. Also note citizenship requirement? That is requirement not responsibility.
Requirements: citizenship: U.S. citizens, U.S. nationals, or U.S. lawful permanent residents.
Qualifications: list items: Solid foundation in Computer Science, including core theoretical and applied concepts; Proficiency in Programming in Python to design and execute compute-demanding experiments; Strong Analytical Skills for problem-solving, data interpretation, and experimental design; Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team; Demonstrated Research experience or potential, including prior projects, theses, or publications; Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields.
Skills: Could be same as qualifications? But we need separate Skills section maybe list programming Python, analytical skills, communication skills, research experience. However qualifications already cover those. To avoid duplication, maybe we treat Qualifications as the list, and Skills as a subset? But instructions: prefer few substantive sections over many thin ones. Could combine Qualifications and Skills? But they ask to use headings for those sections if content exists. We have content for both Qualifications and Skills. Could we put skills inside Qualifications? Might be okay to have both but ensure not duplicate. Let's extract skills: Programming in Python, Analytical skills, Communication skills, Research experience. Those are also in qualifications. Could we keep Qualifications as the list and Skills as a brief summary? Might be duplication but still substantive. However risk of being considered thin? Might be okay.
Better: Make Qualifications section include the list; Skills section maybe not needed. But we have explicit skills mentioned: "Proficiency in Programming in Python", "Strong Analytical Skills", "Effective Communication skills", "Demonstrated Research experience". Those are skills. Could put them in Skills section as a list, and Qualifications section could include degree requirement and foundation. But the qualifications list includes those anyway. To avoid duplication, we could split: Qualifications: degree requirement and foundation in CS; Skills: programming, analytical, communication, research. However the original text lumps them together. But we can still separate as long as we preserve all info.
Let's parse qualifications text: "Solid foundation in Computer Science, including core theoretical and applied concepts.Proficiency in Programming in Python to design and execute compute-demanding experiments.Strong Analytical Skills for problem-solving, data interpretation, and experimental design.Effective Communication skills for writing research papers, preparing presentations, and collaborating within a research team.Demonstrated Research experience or potential, including prior projects, theses, or publications.Completion of a master’s (preferred) or bachelor’s degree in CS or closely related fields."
We can split into two lists: Qualifications: Solid foundation in CS, Completion of master's/bachelor's. Skills: Proficiency in Python, Strong Analytical Skills, Effective Communication skills, Demonstrated Research experience.
That seems reasonable.
Now Benefits: Funded position covers tuition and stipend; admitted candidate granted internship at NASA center under supervision of NASA scientists ensuring radiation exposure limits; continuation of support contingent on student's performance and availability of funds beyond project.
Now craft HTML.
We'll need to ensure no extra whitespace issues.
Let's produce:
About the role
This Ph.D. position offers the opportunity to contribute to next-generation AI solutions for space-weather forecasting and preparedness in support of NASA's Artemis Program. The successful candidate will join the Earth-Space AI Research (ESAIR) lab, an interdisciplinary research team working at the intersection of artificial intelligence, data science, and space physics. Research activities include developing advanced machine learning algorithms, designing robust evaluation methodologies, and analyzing massive volumes of vision-based and scientific sensor data collected from space- and ground-based observatories. The project aims to obtain a better estimate of the costs of extreme space-weather events and find innovative ways to incorporate such costs into model training and evaluation, thereby improving the accuracy, reliability, and operational usefulness of space weather forecasting systems, ultimately contributing to the preparedness and safety of astronauts and mission operations during extreme space weather events. Candidates will gain experience with state-of-the-art ML/DL frameworks, high-performance computing, and collaborative research with scientists from leading research institutions and NASA centers. The admitted candidate will be granted an internship at a NASA center, where they will work on this project under the direct supervision of NASA scientists who are responsible for ensuring that the radiation exposure received by astronauts remains below established safety limits. ESAIR is part of the Department of Computer Science of the University of Missouri–St. Louis (UMSL). UMSL is the largest public research university in eastern Missouri, serving over 15,000 students and offering strong learning and leadership opportunities to a diverse community. Located on a 350-acre campus in suburban St. Louis County, UMSL features modern and historic academic buildings along with varied student housing options. Students benefit from access to outstanding faculty and internships with regional companies and organizations in a major metropolitan area. UMSL alumni, more than 75,000 of whom live in the St. Louis region, significantly impact the local economy and social well-being. Established in 1963 as part of the University of Missouri System, UMSL hosts academic programs that consistently earn high rankings.
Responsibilities
- Conduct original research under the supervision of Dr. Ahmadzadeh
- Contribute to publications and present results at seminars and conferences
- Engage in coursework, attend research group meetings, and collaborate with other lab members on projects aligned with lab priorities
- Perform work on-site, requiring regular presence for research, coursework, and departmental activities
Requirements
U.S. citizenship, U.S.