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Phd In Physics Jobs in Wisconsin (NOW HIRING)

WI · On-site

$65 - $85/hr

PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field. * Programming: Proficient in Python. * Machine Learning: Strong experience with frameworks ...

WI · On-site

$150 - $190/hr

Advanced degree (master's or PhD) in aerospace engineering, physics, mathematics, or related field * Expert-level proficiency in STK for spacecraft trajectory design * Python proficiency and ...

WI · On-site

$90 - $150/hr

Master's or PhD in an engineering or physics discipline * Strong ability to use data and analysis to make fast data-driven decisions * Ability to perform trade studies and make clear recommendations ...

WI · On-site

$120 - $160/hr

Advanced degree (master's or PhD) in aerospace engineering, physics, mathematics, or related field * Expert-level capability in JPL's MONTE software suite for orbit determination * Software ...

WI · On-site

$184 - $287.50/hr

MS or PhD in Engineering, Mathematics, Physics, Computer Science or equivalent experience. * 8+ years of work‑related experience in data science or software development with knowledge of parallel ...

WI · On-site

$180 - $240/hr

... by physics, data, and sound judgment. * Deep understanding of: * FEM/FEA and classical hand ... S. or PhD in a relevant discipline. * Experience serving as a Chief Engineer, technical authority ...

WI · On-site

$110 - $140/hr

... degree in aerospace engineering, mechanical engineering, electrical engineering, physics ... PhD) in aerospace engineering or related field with focus on GNC, flight mechanics, or controls ...

WI · On-site

$79.95 - $125.64/hr

A Master's degree or PhD in Remote Sensing, Geomatics, Geoinformatics, Computer Science, Physics, Engineering or a related field. * A solid understanding of optical/SAR Earth Observation, remote ...

WI · On-site

$152 - $288/hr

MS or PhD in Electrical or Power Systems Engineering (or Chemical, Mechanical, or related engineering), Computer Science, Applied Mathematics, Physics, or equivalent experience. * Strong practical ...

... physics interactions. Develop and validate advanced analysis methodologies that support engine ... MS or PhD in Mechanical Engineering with emphasis in solid mechanics, vibrations, dynamics, finite ...

... physics interactions. Develop and validate advanced analysis methodologies that support engine ... MS or PhD in Mechanical Engineering with emphasis in solid mechanics, vibrations, dynamics, finite ...

WI · On-site

$70 - $105/hr

Graduating with a bachelor's degree, master's degree or PhD in 2026 or 2027 * Degree in an engineering discipline or physics * 1+ years of mechanical or fluids design, analysis, or build experience ...

WI · On-site

$65 - $85/hr

Graduating with a bachelor's degree, master's degree or PhD in 2026 or 2027 * Degree in an engineering discipline or physics * 1+ years of mechanical or fluids design, analysis, or build experience ...

WI · On-site

$70 - $110/hr

Graduating with a bachelor's degree, master's degree or PhD in 2027 * Degree in an engineering discipline or physics * 1+ years of mechanical, manufacturing, build, or integration experience via ...

WI · On-site

$180 - $300/hr

Master's or PhD degree in engineering or related discipline (e.g. computer science, mathematics, physics, chemistry) * 20+ years of professional, hands‑on experience in aerospace engineering field ...

Showing results 41-60

Phd In Physics information

See Wisconsin salary details

$11.1K

$61.7K

$95.4K

How much do phd in physics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for phd in physics in Wisconsin is $61,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $65,100.00 per year, depending on experience, location, and employer.

What is a PhD in Physics?

A PhD in Physics is the highest academic degree awarded in the field of physics. It involves several years of advanced coursework, independent research, and the completion of a dissertation that contributes original knowledge to the field. Earning a PhD prepares graduates for careers in academia, research, industry, and government, where they can apply their deep understanding of physical principles to solve complex problems. The process typically takes 4-6 years beyond a bachelor's or master's degree.

What are the common career paths available to someone with a PhD in Physics outside of academia?

A PhD in Physics opens doors to a wide range of career paths beyond academia, including roles in industry research and development, data science, finance, technology consulting, and government or national laboratories. Many physicists find rewarding careers in sectors like aerospace, energy, and healthcare, leveraging their problem-solving and analytical skills. Collaboration is often key, as you'll work with interdisciplinary teams of engineers, data analysts, and project managers. Transitioning into these roles may involve learning new tools or adapting to different team structures, but the foundational skills from your PhD are highly valued.

What are the key skills and qualifications needed to thrive as a PhD in Physics, and why are they important?

To thrive as a PhD in Physics, you need advanced knowledge of physical theories, strong analytical skills, and experience in research methodologies, typically supported by a doctoral degree in physics or a related field. Proficiency with data analysis tools (such as MATLAB or Python), laboratory equipment, and scientific publishing systems is commonly required. Critical thinking, problem-solving, and effective communication are crucial soft skills for presenting complex ideas and collaborating with multidisciplinary teams. These skills and qualities are essential for conducting impactful research, advancing scientific understanding, and succeeding in academic or industry settings.

What is the difference between Phd In Physics vs Physicist?

AspectPhd In PhysicsPhysicist
Required CredentialsDoctoral degree in PhysicsTypically a PhD in Physics or related field
Work EnvironmentResearch labs, universities, academiaResearch institutions, industry, academia
Industry UsageAcademic and research-focused rolesResearch, development, applied physics roles
Search & Comparison IntentUnderstanding academic qualificationsCareer options and job roles

In summary, a Phd In Physics is an academic qualification, while a Physicist is a professional working in research or industry. The Phd is necessary to become a Physicist, but not all Physicists hold a PhD. The roles often overlap in research environments, but the PhD emphasizes education, whereas Physicist roles focus on applying physics principles.

Are physics PhDs employable?

Physics PhDs are highly employable in a variety of fields including academia, research, engineering, data analysis, and technology. They develop skills in problem-solving, quantitative analysis, and technical communication, which are valued across many industries. However, job prospects often depend on specialization, experience, and additional skills such as programming or project management.

Is a PhD in physics worth it?

A PhD in physics prepares individuals for research, academia, and specialized roles that require advanced analytical and problem-solving skills. While it can lead to higher-level positions and increased earning potential, it often involves several years of study and research, and job prospects vary depending on the industry and location.

What can you do with a PhD in physics?

A PhD in physics prepares individuals for careers in research, academia, and industry, including roles such as physicist, research scientist, data analyst, or technical consultant. Graduates often work in laboratories, government agencies, or technology companies, utilizing skills in problem-solving, data analysis, and advanced mathematical modeling.

Where do most physics PhDs work?

Most physics PhDs work in academia as university professors or researchers, in government laboratories conducting scientific research, or in industry roles such as data analysis, engineering, or technology development. They often utilize skills in research, data modeling, and technical problem-solving, and may work in laboratories, research centers, or corporate environments.

What are popular job titles related to Phd In Physics jobs in Wisconsin?

For Phd In Physics jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Phd In Physics jobs in Wisconsin look for?

The top searched job categories for Phd In Physics jobs in Wisconsin are:

What cities in Wisconsin are hiring for Phd In Physics jobs?

Cities in Wisconsin with the most Phd In Physics job openings:

Infographic showing various Phd In Physics job openings in Wisconsin as of August 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $61,732 per year, or $29.7 per hour.

Deep Learning for Glioblastoma Sequence-to-Function Models

ELLIS

WI • On-site

$65 - $85/hr

Other

Posted 5 days ago


Job description

Deep Learning for Glioblastoma Sequence-to-Function Models

VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is to study fundamental problems in biology and work towards foundation models of biological systems and innovative AI-driven biotech applications.

The Laboratory of Computational Biology in Leuven (www.aertslab.org), led by VIB.AI Scientific Director Stein Aerts, is seeking a talented postdoctoral researcher to develop next‑generation sequence‑to‑function models for glioblastoma (GBM). Glioblastoma is the most aggressive form of brain cancer, characterized by diverse and dynamic cell states that drive treatment resistance and poor prognosis.

In this project, funded by the Foundation Against Cancer, you will move beyond descriptive genomics to decipher the underlying regulatory logic of GBM. By leveraging single‑cell multi‑omics (scATAC‑seq, scRNA‑seq) and spatial omics, you will map enhancer landscapes at unprecedented resolution. The core innovation of your work will be integrating this data to train deep learning models that predict chromatin accessibility and gene expression patterns. These models will ultimately be used to design synthetic enhancers tailored to modulate specific GBM cell states, offering a path toward highly targeted oncolytic virus therapies and immunomodulatory interventions.

Responsibilities
  • Model Development: Build and train advanced deep learning architectures (e.g., CNNs, Transformers, Generative Models) to decode the regulatory logic of genomic enhancers in GBM and the tumor microenvironment.
  • Synthetic Design: Use sequence‑to‑function models to design "programmable" synthetic enhancers capable of targeting specific cancer cell states or host cells.
  • Data Integration: Integrate pan‑cancer single‑cell atlases with spatial transcriptomics to understand signaling pathways and gene‑regulatory dynamics.
  • Explainable AI (XAI): Ensure models provide mechanistic insights into cancer cell states, moving from "black box" predictions to biological understanding.
  • Collaboration: Work within a multi‑disciplinary team and potentially engage with collaborators across Belgian universities.
Profile
  • Education: PhD in Artificial Intelligence, Bioinformatics, Computer Science, Physics, Engineering, or a related field.
  • Programming: Proficient in Python.
  • Machine Learning: Strong experience with frameworks like TensorFlow, Keras, or PyTorch.
  • Preferred Skills:
    • Experience with Explainable AI (e.g., SHAP, Integrated Gradients).
    • Familiarity with high‑performance computing (HPC) and software containers.
    • Knowledge of cancer genomics or regulatory biology is a plus.
    • Mindset: Ability to work independently while thriving in a collaborative, international team.
We offer
  • Cutting‑Edge Resources: Access to state‑of‑the‑art compute and GPU infrastructure, including H100 and B300 GPU clusters.
  • Innovation: The opportunity to apply a recently published, "proof‑of‑concept" method for synthetic enhancer design to a critical, real‑world clinical challenge.
  • Environment: A stimulating, international research setting in a top‑tier university.
  • Funding: Minimum of 3 years of funding available; candidates are encouraged to apply for prestigious fellowships (EMBO, MSCA, etc.).
  • Start Date: As soon as possible.
How to apply?

Please complete the online application procedure via the VIB website and include:

  • A detailed CV
  • A motivation letter specifically detailing your interest in glioblastoma and deep learning

For more information: stein.aerts@kuleuven.be

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