On-site
Postdoctoral Researcher in Scientific Machine Learning and Computational Biology
Johns Hopkins University
Baltimore, Maryland · USFull-time1 month ago
About the role
Johns Hopkins, founded in 1876, is America's first research
university and home to nine world-class academic divisions working
together as one university.
Salary : $75,000 - $85,000
Johns Hopkins University: Whiting School of Engineering: Data
Science and AI Institute
Description
The Maddu Lab in the Department of Applied Mathematics and
Statistics and Data Science and AI Institute (DSAI) at Johns
Hopkins University (JHU) is seeking a highly motivated postdoctoral
researcher interested in developing theoretical frameworks and
computational methods at the interface of scientific machine
learning, biophysics, and computational biology.
The Maddu Lab integrates first-principles biophysical modeling with
modern ML/AI techniques to build predictive, mechanistic models of
complex biological processes from sparse, noisy, and
high-dimensional data. Complementarily, we use concepts from
statistical physics and dynamical systems theory to
developtheoretical frameworks for understanding the behavior and
learning dynamics of large AI models, with an emphasis on
interpretability, robustness, and generalization.
The Maddu Lab emphasizes the judicious development of theory- and
physics-guided
ML/AI tools to enable scientific discovery in the life sciences and
medicine.
The postdoctoral researcher will have substantial flexibility in
shaping their research program, with potential projects including:
(i) Biophysical and mathematical modeling of intracellular and
intercellular processes; (ii) Learning spatiotemporal dynamical
models from time-series and snapshot data; (iii) Theory of learning
in physics-informed neural networks; (iv) Biophysically informed
sequence-to-function models.
Qualifications
Candidates must hold a Ph.D. (or equivalent doctoral degree) in
applied mathematics, statistics, physics, computer science,
computational biology, or a related field by the start date. Strong
mathematical and computational skills are desirable. Expertise in
one or more of the following areas would be particularly relevant:
scientific machine learning, biophysical modeling, statistical
learning theory, generative modeling, computational biology, or
bioinformatics.
Application Instructions
(1) a CV, (2) a brief statement of research interests, and (3)
contact information for 2–3 references. In the research statement,
candidates are encouraged to describe which of the research
directions above most closely aligns with their interests and to
propose related questions they would be excited to pursue.
Applications will be reviewed on a rolling basis until the position
is filled .
Equal Employment Opportunity Statement
Salary Range
The referenced salary range represents the minimum and maximum
salaries for this position and is based on Johns Hopkins
University's good faith belief at the time of posting. Not all
candidates will be eligible for the upper end of the salary range.
The actual compensation offered to the selected candidate may vary
and will ultimately depend on multiple factors, which may include
the successful candidate's geographic location, skills, work
experience, internal equity, market conditions, education/training
and other factors, as reasonably determined by the
University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our
employees' health, life, career and retirement. More information
can be found here: https://hr.jhu.edu/benefits-worklife/
.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for
its faculty, staff, and students. To that end, the university does
not discriminate on the basis of sex, gender, marital status,
pregnancy, race, color, ethnicity, national origin, age,
disability, religion, sexual orientation, gender identity or
expression, veteran status or other legally protected
characteristics. The University is committed to providing qualified
individuals access to all academic and employment programs,
benefits and activities on the basis of demonstrated ability,
performance and merit without regard to personal factors or
demographic characteristics that are irrelevant to the program
involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins
University and require special assistance or accommodation during
any part of the pre-employment process, please contact the HR
Business Services Office at jhurecruitment@jhu.edu . For
TTY users, call via Maryland Relay or dial 711. For more
information about workplace accommodations at Johns Hopkins
University for disabilities, medical conditions (including medical
conditions related to pregnancy or childbirth), accessibility, or
religious reasons, please visit accessibility.jhu.edu .
Background Checks
After receiving a conditional offer, the successful candidate(s)
for this position will be subject to a pre-employment background
check including education verification. When deciding whether a
candidate’s conviction history is job-disqualifying, the University
considers the nature and gravity of the offense, the time that has
passed since the conviction, and the nature of the job being
sought.
EEO is the Law
https://www.eeoc.gov/employees-job-applicants
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer
requires, at least one dose of the COVID-19 vaccine. This change
does not apply to the School of Medicine (SOM). SOM hires must be
fully vaccinated with an FDA COVID-19 vaccination and provide proof
of vaccination status. We still require all faculty, staff, and
students to receive the seasonal
flu vaccine .
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for
SOM) requirement(s) may be provided to individuals with sincerely
held religious beliefs or medical conditions that preclude them
from receiving the vaccine. Requests for an exception must be
submitted to the JHU vaccination registry. For additional
information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/
and all other JHU applicants should visit
https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/
.
The following additional vaccine requirements may apply,
depending upon your campus. Please contact the hiring department
for more information.
The pre-employment physical for positions in clinical areas,
laboratories, working with research subjects, or involving
community contact requires documentation of immune status against
Rubella (German measles), Rubeola (Measles), Mumps, Varicella
(chickenpox), Hepatitis B and documentation of having received the
Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include
documentation of having two (2) MMR vaccines; two (2) Varicella
vaccines; or antibody status to these diseases from laboratory
testing. Blood tests for immunities to these diseases are
ordinarily included in the pre-employment physical exam except for
those candidates who provide results of blood tests or immunization
documentation from their own health care providers. Any
vaccinations required for these diseases will be given at no cost
in our Occupational Health office.
university and home to nine world-class academic divisions working
together as one university.
Salary : $75,000 - $85,000
Johns Hopkins University: Whiting School of Engineering: Data
Science and AI Institute
Description
The Maddu Lab in the Department of Applied Mathematics and
Statistics and Data Science and AI Institute (DSAI) at Johns
Hopkins University (JHU) is seeking a highly motivated postdoctoral
researcher interested in developing theoretical frameworks and
computational methods at the interface of scientific machine
learning, biophysics, and computational biology.
The Maddu Lab integrates first-principles biophysical modeling with
modern ML/AI techniques to build predictive, mechanistic models of
complex biological processes from sparse, noisy, and
high-dimensional data. Complementarily, we use concepts from
statistical physics and dynamical systems theory to
developtheoretical frameworks for understanding the behavior and
learning dynamics of large AI models, with an emphasis on
interpretability, robustness, and generalization.
The Maddu Lab emphasizes the judicious development of theory- and
physics-guided
ML/AI tools to enable scientific discovery in the life sciences and
medicine.
The postdoctoral researcher will have substantial flexibility in
shaping their research program, with potential projects including:
(i) Biophysical and mathematical modeling of intracellular and
intercellular processes; (ii) Learning spatiotemporal dynamical
models from time-series and snapshot data; (iii) Theory of learning
in physics-informed neural networks; (iv) Biophysically informed
sequence-to-function models.
Qualifications
Candidates must hold a Ph.D. (or equivalent doctoral degree) in
applied mathematics, statistics, physics, computer science,
computational biology, or a related field by the start date. Strong
mathematical and computational skills are desirable. Expertise in
one or more of the following areas would be particularly relevant:
scientific machine learning, biophysical modeling, statistical
learning theory, generative modeling, computational biology, or
bioinformatics.
Application Instructions
(1) a CV, (2) a brief statement of research interests, and (3)
contact information for 2–3 references. In the research statement,
candidates are encouraged to describe which of the research
directions above most closely aligns with their interests and to
propose related questions they would be excited to pursue.
Applications will be reviewed on a rolling basis until the position
is filled .
Equal Employment Opportunity Statement
Salary Range
The referenced salary range represents the minimum and maximum
salaries for this position and is based on Johns Hopkins
University's good faith belief at the time of posting. Not all
candidates will be eligible for the upper end of the salary range.
The actual compensation offered to the selected candidate may vary
and will ultimately depend on multiple factors, which may include
the successful candidate's geographic location, skills, work
experience, internal equity, market conditions, education/training
and other factors, as reasonably determined by the
University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our
employees' health, life, career and retirement. More information
can be found here: https://hr.jhu.edu/benefits-worklife/
.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for
its faculty, staff, and students. To that end, the university does
not discriminate on the basis of sex, gender, marital status,
pregnancy, race, color, ethnicity, national origin, age,
disability, religion, sexual orientation, gender identity or
expression, veteran status or other legally protected
characteristics. The University is committed to providing qualified
individuals access to all academic and employment programs,
benefits and activities on the basis of demonstrated ability,
performance and merit without regard to personal factors or
demographic characteristics that are irrelevant to the program
involved.
Pre-Employment Information
If you are interested in applying for employment with Johns Hopkins
University and require special assistance or accommodation during
any part of the pre-employment process, please contact the HR
Business Services Office at jhurecruitment@jhu.edu . For
TTY users, call via Maryland Relay or dial 711. For more
information about workplace accommodations at Johns Hopkins
University for disabilities, medical conditions (including medical
conditions related to pregnancy or childbirth), accessibility, or
religious reasons, please visit accessibility.jhu.edu .
Background Checks
After receiving a conditional offer, the successful candidate(s)
for this position will be subject to a pre-employment background
check including education verification. When deciding whether a
candidate’s conviction history is job-disqualifying, the University
considers the nature and gravity of the offense, the time that has
passed since the conviction, and the nature of the job being
sought.
EEO is the Law
https://www.eeoc.gov/employees-job-applicants
Vaccine Requirements
Johns Hopkins University strongly encourages, but no longer
requires, at least one dose of the COVID-19 vaccine. This change
does not apply to the School of Medicine (SOM). SOM hires must be
fully vaccinated with an FDA COVID-19 vaccination and provide proof
of vaccination status. We still require all faculty, staff, and
students to receive the seasonal
flu vaccine .
Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for
SOM) requirement(s) may be provided to individuals with sincerely
held religious beliefs or medical conditions that preclude them
from receiving the vaccine. Requests for an exception must be
submitted to the JHU vaccination registry. For additional
information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/
and all other JHU applicants should visit
https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/
.
The following additional vaccine requirements may apply,
depending upon your campus. Please contact the hiring department
for more information.
The pre-employment physical for positions in clinical areas,
laboratories, working with research subjects, or involving
community contact requires documentation of immune status against
Rubella (German measles), Rubeola (Measles), Mumps, Varicella
(chickenpox), Hepatitis B and documentation of having received the
Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include
documentation of having two (2) MMR vaccines; two (2) Varicella
vaccines; or antibody status to these diseases from laboratory
testing. Blood tests for immunities to these diseases are
ordinarily included in the pre-employment physical exam except for
those candidates who provide results of blood tests or immunization
documentation from their own health care providers. Any
vaccinations required for these diseases will be given at no cost
in our Occupational Health office.
What you'll do
- Responsibilities are not added
What we're looking for
- Qualifications are not added