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Geometric Deep Learning Jobs in Indiana (NOW HIRING)

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE ... Hands-on experience with frameworks such as PyTorch Geometric (PyG), DGL, GraphGym, GraphML systems ...

Math 1 Tutor

Valparaiso, IN ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Math 1 Tutor

Indianapolis, IN ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Math 1 Tutor

West Lafayette, IN ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Math 1 Tutor

Bloomington, IN ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Math 1 Tutor

Fort Wayne, IN ยท Remote

$40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of linear equations and inequalities, functions and function families, systems of ...

Geometry Tutor

Fort Wayne, IN ยท Remote

$40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Geometry Tutor

Indianapolis, IN ยท Remote

$40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Geometry Tutor

Valparaiso, IN ยท Remote

$40/hr

Deep knowledge of geometric proofs, triangle congruence and similarity, circles, polygons ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Geometric Deep Learning information

What are the key skills and qualifications needed to thrive as a geometric deep learning engineer?

To excel as a Geometric Deep Learning Engineer, you need a strong background in mathematics, machine learning, and computer science, typically supported by an advanced degree in a related field. Proficiency with deep learning frameworks like PyTorch or TensorFlow, as well as experience with graph neural networks (GNNs) and geometric data structures, is essential. Strong analytical thinking, problem-solving abilities, and collaborative communication are key soft skills for innovating and working with interdisciplinary teams. These skills are crucial for developing cutting-edge models that leverage geometric data, enabling impactful solutions across domains such as computer vision, biology, and social network analysis.

What are some common challenges faced when working on geometric deep learning projects, and how can they be addressed?

One common challenge in Geometric Deep Learning is dealing with the complexity and diversity of data structures, such as graphs, point clouds, or manifolds. These data types often require specialized neural network architectures and custom preprocessing steps, which can be more complex than traditional deep learning tasks. Collaboration with domain experts and staying updated with the latest research are crucial for overcoming these obstacles. Additionally, debugging and visualizing the learning process can be more challenging, so employing robust evaluation metrics and visualization tools is highly recommended.

What is the difference between Geometric Deep Learning vs Data Scientist?

AspectGeometric Deep LearningData Scientist
Required CredentialsAdvanced degrees in computer science, machine learning, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness analytics, product teams, consulting firms
Industry UsageAI, robotics, computer vision, graph analysisBusiness intelligence, marketing, finance, healthcare

Geometric Deep Learning focuses on applying deep learning techniques to non-Euclidean data like graphs and manifolds, often requiring advanced technical skills. Data Scientists analyze and interpret data to inform business decisions, typically working with structured data and statistical tools. While both roles involve data analysis, Geometric Deep Learning is more research-oriented and specialized in AI development, whereas Data Scientists focus on practical data insights across industries.

What are popular job titles related to Geometric Deep Learning jobs in Indiana?

For Geometric Deep Learning jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Geometric Deep Learning jobs?

Cities in Indiana with the most Geometric Deep Learning job openings:

Tenured/Tenure-track Faculty Position in Mathematical Artificial Intelligence

Bloomington, IN โ€ข On-site

Full-time

Posted 5 days ago


Job description

Posting Details
Position Details
Title
Tenured/Tenure-track Faculty Position in Mathematical Artificial Intelligence
Appointment Status
Tenure
Department
IU Bloomington Vice Provost For Faculty Affairs
Location
Bloomington
Position Summary
As part of Indiana University Bloomington's Faculty 100 initiative, the Department of Mathematics in the College of Arts and Sciences invites applications for an open-rank position (Assistant, Associate, or Full Professor) to begin in Fall 2027. These are 10-month appointments, ideally beginning August 1, 2027.
We seek an outstanding mathematician whose research engages substantially with artificial intelligence, data science, or scientific machine learning. The successful candidate will have a primary appointment in Mathematics and opportunities to collaborate broadly with faculty in the Luddy School of Informatics, Computing, and Engineering, Data Science, Statistics, the Institute for Scientific Computing and Applied Mathematics, and scientific units across our campus.
We are particularly interested in researchers working in mathematical artificial intelligence, broadly construed. This includes, but is not limited to: machine learning algorithms, formal proof assistants, and large language models.
Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving, formal verification, proof assistants, automated proof search, and AI-guided mathematical discovery; neural operators, physics-informed learning, inverse problems, uncertainty quantification, and rigorous methods for differential equations and scientific machine learning; geometric deep learning, manifold learning, equivariant methods, high-dimensional geometry, and structure-aware learning; and the mathematical foundations of trustworthy AI, including stability, robustness, verification, interpretability, and generalization.
Candidates whose work connects rigorous mathematics with modern computation and complements departmental strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, probability, logic, formal methods, and experimental mathematics will be given preference. We encourage applications from scholars who apply interdisciplinary perspectives across a variety of these domains.
Responsibilities: Candidates are expected to sustain an active, externally funded research program, to engage undergraduate and graduate students through effective teaching and mentoring, to contribute to curricular development in mathematical AI as described above, and to participate in service to the university and the profession. Candidates should be able to work effectively in a team environment and to build connections between mathematics, the joint B.S. program with Luddy Data Science, and AI- and data-intensive research across campus. To advance scholarly innovation and excellence, we especially welcome candidates whose demonstrated experience, research, teaching, and mentoring will support the university's commitment to an inclusive academic community.
Application Procedures: All applicants should apply online at https://indiana.peopleadmin.com/postings/34236 and also at https://www.mathjobs.org/jobs/list/28843through which all materials are requested. Materials required include: a cover letter of application stating rank sought; CV; and statements on research and teaching. Also required are three letters of reference. Applicants seeking appointment with tenure should provide an additional three names of potential references from which the department may later solicit additional letters.
Full consideration date. For full consideration, applications should be received by November 7, 2026. Review of applications will begin immediately thereafter.
Before any conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate's eligibility for hire will be evaluated by Indiana University Bloomington on a case-by-case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.
About Indiana University Bloomington: Founded in 1820, Indiana University-Bloomington (IUB) is the flagship campus of Indiana University. Located in Bloomington, IN., IUB constantly strives to embody its mission to create, disseminate, preserve, and apply knowledge. It does so through its commitments to cutting-edge research, scholarship, arts, and creative activity; inspired and challenging undergraduate, graduate, professional, and lifelong educational programs; meaningful experiences outside the classroom; expansive global educational opportunities; first-rate library and museum collections; and far-reaching economic development and impact in the state and region.
IUB is a member of the prestigious Association of American University (AAU) since 1909, is accredited by the Higher Learning Commission and is a member of the North Central Association. With over 47,000 undergraduate and graduate students, the campus has 16 degree-granting colleges and schools offering 300+ undergraduate majors, 300+ Master's degrees, and 150+ doctoral and professional degree opportunities. Known for its Indiana limestone facades and green spaces throughout, IUB is widely considered one of the country's most beautiful college campuses.
The College of Arts and Sciences at Indiana University offers over 225 academic programs rooted in three broad areas of study-Arts and Humanities, Natural and Mathematics Sciences, and Social and Historical Studies. The College is home to over 70 departments and programs and three schools-the Eskenazi School of Art, Architecture + Design, the Hamilton Lugar School of Global and International Studies, and The Media School. Over 900 faculty members serve within the College and form an extraordinary teaching and learning community at the heart of a world-class university. Members of the College's faculty are continually recognized as elected fellows of the American Academy of Arts and Sciences, the National Academies, the American Association for the Advancement of Science, and include MacArthur and Guggenheim Fellows, Fulbright Award winners, and Pulitzer Prize, Oscar, and Emmy winners.
The Department of Mathematics at Indiana University Bloomington supports research and teaching across pure and applied mathematics. Its strengths in topology, algebraic topology, analysis, partial differential equations, geometric analysis, logic, formal methods, and experimental mathematics provide a strong foundation for this position. The successful candidate will help connect these strengths to a developing course in topological data analysis, the new joint B.S. major with Luddy Data Science, undergraduate research, graduate training, and campus collaborations in AI, data science, and scientific computing.
The Luddy School of Informatics, Computing, and Engineering at Indiana University is the first of its kind and among the largest in the country. Its mission is to excel and lead in education, research, and outreach spanning and integrating the full breadth of computing, information technology and modern engineering. The Luddy School is a core school with programs on the Bloomington and Indianapolis campus and includes over 150 faculty and 3100 students. Departments in the Luddy School's Bloomington campus include Computer Science, Information and Library Science, Informatics, and Intelligent Systems Engineering.
Nestled in the rolling hills of south-central Indiana, and home to 85,000 residents, the city of Bloomington offers the feel of a college town with many of the amenities of a large city. From off-Broadway plays and musicals, the LOTUS World Festival of Music, quick access to 250,000 acres of public recreation lands, outstanding public schools and a reasonable cost of living, Bloomington offers much to all.
Basic Qualifications
Qualifications: Applicants should possess a PhD in Mathematics, Applied Mathematics, or a closely related field by the date of appointment and be committed to excellence in scholarship and teaching at the undergraduate and graduate levels. Appointment with tenure requires a record of research, teaching, and service appropriate for tenure at Indiana University Bloomington.
Department Contact for Questions
All queries about the position or the application procedures may be addressed to Chair Kevin Pilgrim pilgrim@iu.edu with cc to Dr. Cindy Broderick, search coordinator, at faculty1@indiana.edu.
Additional Qualifications
Salary and Rank
Special Instructions
For Best Consideration Date
11/07/2026
Expected Start Date
Posting Number
IU-101659-2026