OPPORTUNITIES
There are many opportunities available to be a part of the DARSE team. The available positions at each partner institution of DARSE are listed below. Please email darse-scipe@udel.edu with any questions.
UD Student Opportunities – Click Here to Apply!
Student Research Assistants for Research Software Engineering at UD
The Research Software Engineer (RSE) profession requires dual skills in (i) research software development, implementation, and documentation and (ii) interdisciplinary team science. The University of Delaware’s recently funded NSF Award “Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region” endeavors to develop these dual skillsets within several specific interdisciplinary science areas, including the social, behavioral & economic sciences, finance, and coastal science & engineering.
As part of this project, we are seeking research assistant (RA) applications from interested undergraduate and graduate students at the University of Delaware, Delaware State University, Lincoln University, and Howard University. Depending on the school and timeline, these research assistant positions may occur during summer breaks, winter breaks, and/or standard fall/spring semesters. In participating, student RAs will develop skills in the use of High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science for interdisciplinary research projects within the substantive domains mentioned above.
Student RAs will be paired with specific project(s) to assist domain scientists and dedicated RSEs in scaling up analyses, writing code, implementing code both locally and on HPCs, documenting code, and writing up scientific results. Several more specific duties will include:
- Implement specified analyses in the AI and ML areas
- Develop and optimize software for domain science code
- Create effective (training) data formats and workflows
- Assist domain scientists in learning new HPC systems and programming languages
- Maintain software libraries and (open-source) repositories
- Contribute code on platforms such as GitHub/GitLab
- Create comprehensive documentation of software developed
- Debug code and existing applications
- Communicate the above tasks to teams of RSEs, students, and domain scientists
Hiring will be done on a rolling basis depending on school and project needs. Several desired background and prior skills are listed below, though applicants who are uncertain as to their level of skills in these areas are still encouraged to apply.
- A major (or Bachelors degree) in Computer Science, Computer Engineering, Software Engineering, or related technical fields OR,
- A major (or Bachelors degree) in one of the domain fields mentioned further above (e.g., the Social & Behavioral Sciences, Economics, Finance, or Geosciences & Engineering).
- Experience with programming languages such as Python or R
- Exposure to coursework or research intersecting with data science, data structures, machine learning (ML), artificial intelligence (AI), quantitative analysis, and/or statistics
- Excellent verbal and written communication skills
Subawardee Student Opportunities – Click Here to Apply!
Howard University, Lincoln University, Delaware State University
Student Research Assistants for Research Software Engineering at HU, LU, DSU
The Research Software Engineer (RSE) profession requires dual skills in (i) research software development, implementation, and documentation and (ii) interdisciplinary team science. The University of Delaware’s recently funded NSF Award “Building a Computational and Data-Intensive Research Workforce & Network in the Mid-Atlantic Region” endeavors to develop these dual skillsets within several specific interdisciplinary science areas, including the social, behavioral & economic sciences, finance, and coastal science & engineering.
As part of this project, we are seeking research assistant (RA) applications from interested undergraduate and graduate students at the University of Delaware, Delaware State University, Lincoln University, and Howard University. Depending on the school and timeline, these research assistant positions may occur during summer breaks, winter breaks, and/or standard fall/spring semesters. In participating, student RAs will develop skills in the use of High Performance Computing (HPC) Artificial Intelligence (AI), Machine Learning (ML) and Data Science for interdisciplinary research projects within the substantive domains mentioned above.
Student RAs will be paired with specific project(s) to assist domain scientists and dedicated RSEs in scaling up analyses, writing code, implementing code both locally and on HPCs, documenting code, and writing up scientific results. Several more specific duties will include:
- Implement specified analyses in the AI and ML areas
- Develop and optimize software for domain science code
- Create effective (training) data formats and workflows
- Assist domain scientists in learning new HPC systems and programming languages
- Maintain software libraries and (open-source) repositories
- Contribute code on platforms such as GitHub/GitLab
- Create comprehensive documentation of software developed
- Debug code and existing applications
- Communicate the above tasks to teams of RSEs, students, and domain scientists
Hiring will be done on a rolling basis depending on school and project needs. Several desired background and prior skills are listed below, though applicants who are uncertain as to their level of skills in these areas are still encouraged to apply.
- A major (or Bachelors degree) in Computer Science, Computer Engineering, Software Engineering, or related technical fields OR,
- A major (or Bachelors degree) in one of the domain fields mentioned further above (e.g., the Social & Behavioral Sciences, Economics, Finance, or Geosciences & Engineering).
- Experience with programming languages such as Python or R
- Exposure to coursework or research intersecting with data science, data structures, machine learning (ML), artificial intelligence (AI), quantitative analysis, and/or statistics
- Excellent verbal and written communication skills