Positions in Data Science at the Johns Hopkins Mathematical Institute for Data Science (MINDS)
The Johns Hopkins University has several openings in machine learning and data science. Interested candidates should review current employment opportunities at the Johns Hopkins Applied Math & Statistics Department and the Johns Hopkins Computer Science Department.
Postdoctoral Fellow – Mathematical Institute for Data Science
The Johns Hopkins University’s Mathematical Institute for Data Science (MINDS) invites applicants for multiple positions as a Postdoctoral Fellow, starting on 1/1/2022. Candidates must have completed their Ph.D. prior to their appointment start date and show definite promise in research and teaching. The appointment is for one year, renewable for up to three years, with a typical duration of at least two years. Opportunities for collaboration include an NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning (THEORINET), the NSF-TRIPODS Institute on the Foundations of Graph and Deep Learning, the DARPA GARD and DARPA RED programs, and ONR MURI on Control and Learning Enabled Verifiable Robust AI (CLEVR-AI), and an ARO MURI on Semantic Information for Multimodal Data.
The successful candidate will be expected to collaborate with Prof. Vidal on problems that include: 1. Foundations of deep learning: learning and control, convergence and implicit bias in overparametrized models, non-convex optimization. 2. Adversarial and lifelong learning: principled defenses for images and videos, reverse engineering of attacks, min-max optimization, lifelong unsupervised learning. 3. Computer vision: scene interpretation, action recognition, 4. Biomedical data science: video-based diagnosis of autism and Tourette syndrome, cell detection and reconstruction. A strong background in machine learning, optimization, statistics, dynamical systems, computer vision, or biomedical data science is required. Applicants are asked to submit (a) a cover letter (b) a curriculum vitae; (c) a description of current and past research (1-3 pages); (d) a plan for future research, and have at least three letters of recommendation. Please apply at http://apply.interfolio.com/98000
Applications received by November 15th, 2021 will be guaranteed full consideration; early application is advisable.
The Mathematical Institute for Data Science has 35 faculty affiliated with primary appointments in the Departments of Applied Math & Statistics, Biomedical Engineering, Computer Science, and Electrical and Computer Engineering. MINDS faculty are supported by multiple grants, including an NSF-Simons Collaboration on the Mathematical Foundations of Deep Learning (THEORINET) and the NSF-TRIPODS Institute on the Foundations of Graph and Deep Learning. More information about the Mathematical Institute for Data Science can be found at https://www.minds.jhu.edu/.
The Whiting School of Engineering comprises over 200 full-time tenure-track, research, and teaching-track faculty in nine academic programs with a total annual research budget of over $100 million. Research partnerships with the Johns Hopkins School of Medicine, Applied Physics Laboratory, Bloomberg School of Public Health, and the Krieger School of Arts and Sciences make the Whiting School of Engineering a unique research and educational environment. Student enrollment exceeds 1800 at the undergraduate level with over 1000 full-time MS and PhD students. The Engineering for Professionals program enrolls over 2000 part-time continuing education students and is the largest program of its kind in the country.
The Johns Hopkins University is committed to active recruitment of a diverse body of researchers. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans, and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.
MINDS 2022 Spring & Summer Fellowship Call
MINDS is calling for the submission of proposals for the 2022 Spring & Summer Data Science Fellowships to recognize and support outstanding graduate students working broadly in data science, and particularly in the foundations of deep learning and graph learning.
This award will support the selected fellows in one of three modalities: (i) support for the Spring semester of 2022, (ii) support for a research internship at MINDS over Summer 2022, or (iii) support for Spring + Summer 2022. The summer internship will have a higher stipend than the semester fellowship. Candidates are to specify which of the award modalities they wish to apply to, and their research proposal should be reflective of the duration of the type of award (see below).
Eligibility: Ph.D. students currently advised by MINDS faculty are eligible at all stages of their graduate studies. Applications will be reviewed by an awards committee for technical depth, potential impact of the research plan, and quality of presentation. Priority will be given to proposals addressing topics in the foundations of deep and graph learning, and to those including two or more MINDS faculty as advisers. Current MINDS fellows who wish to renovate their fellowships (based on their progress) are also encouraged to apply.
Submission details: Students are to submit a one page proposal for modality (i) and (ii), or a two-page proposal for modality (iii), as well as the candidate’s CV. Current MINDS Fellows should include a small section on their accomplished research progress in the last year. All material (compiled in a single pdf file) should be sent to the email address: firstname.lastname@example.org by Dec 3th, 11:59 pm.